Monthly Archives: December 2024

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According to a report by the Tass news agency on March 20, a powerful Russian department revealed that Russian troops had destroyed the foreign mercenary base in Kharkiv, eastern Ukraine.

Russia’s powerful ministry said: Many mercenary bases have emerged in Kharkiv, one of which has been destroyed.

According to a report by the Russian News Agency on March 20, Sergei Lebedev, coordinator of the Nikolaev underground organization, revealed that Russian troops attacked a factory in Kharkiv where soldiers from the Intelligence Directorate of the Ministry of Defense of Ukraine had participated in the attack on Belgorod, Russia.

Reports said that Lebedev provided relevant videos of the Russian attack. He said: During the day today,(Russian troops) launched a strike on the city of Kharkiv and attacked the drone production department. The factory where this production department is located is divided into an electrical equipment factory and the 115th armored factory. The drones produced are of good quality. There were deployed military personnel from the General Intelligence Service, those who attempted to attack Belgorod Oblast.

According to reports, according to information obtained by the underground organization, the Russian army also eliminated drone assembly workers and foreign experts.

It is reported that this workshop has produced vampire six-axis drones. The Ukrainian army and Security Service sealed off the area where the factory was located after the Russian attack. (Compiled by Li Ran)

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According to a report by Russian Satellite News Agency on March 17, government officials in the Russian-controlled Zaporozhye region told reporters on the 17th that an assassination attempt against a close friend of Russian President Vladimir Putin was foiled in the city of Berdyansk in the region.

According to reports, Vladimir Rogov, a senior official of the local administration in Zaporozhye, revealed that the authorities had stopped an assassination plot involving a confidant of Russian President Vladimir Putin.

He said: Ukraine terrorists planned the attack but did not succeed. Their criminal plans were thwarted by professional actions by the Russian secret service.

Rogoff added that all those involved in the planning of the terrorist attack will be hunted down.

The 17th is the last day of voting in the Russian presidential election. (Compiled by Wei Yudong)

Related news reports:

Russia announces: repelled all cross-border attacks, killing 550 people in Uzbekistan

Reference News Report on March 17 According to a report by Russian Satellite News Agency on March 17, Russian Presidential Press Secretary Dmitry Peskov told reporters that the military would routinely report Uzbekistan’s attacks on Russian territory to President Putin.

He pointed out: Putin received reports from the military that Ukrainian troops recently attempted to attack Russian territory in Belgorod and Kursk regions.

Reported that Peskov said that all attacks were successfully repelled, while 1700 of the 2500 saboteurs were killed and 550 people were killed.

He also said that in the early morning of the 16th, the enemy also tried several times to invade Belgorod and Kursk regions. The Ukraine saboteurs ultimately failed and failed even to get close to the Russian border. Peskov said that the enemy lost nearly 70% of its personnel.

The report also said that on the 16th, Russian troops thwarted Ukrainian saboteurs ‘attempts to cross the border from the direction of Popovka, a residential area in Sumizhou, and from Spodaliushno and Kozinka in Belgorod Oblast. The Ukrainian army lost about 30 soldiers, 3 tanks, 2 armored fighting vehicles, a Czech-made vampire multiple rocket launcher and a Hail multiple rocket launcher under bombing and shelling.

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According to CCTV news client, on the 12th local time, the Sudanese Armed Forces and the Rapid Support Force, both sides of the Sudanese armed conflict, continued to exchange fire in various areas of the capital Khartoum. The emergency room of the Sudanese humanitarian aid group says six people have been killed when shells hit a residential area in southern Khartoum.

The Rapid Support Force said on the same day that the Sudanese Armed Forces used heavy artillery to bomb the Presidential Palace in the center of the city, causing a fire to the Old Republican Palace in the Presidential Palace. Rapid Support Force soldiers who controlled the presidential palace then extinguished the fire. The Sudanese Armed Forces have not responded to this.

On April 15, 2023, an armed conflict broke out between the Sudanese Armed Forces and the Rapid Support Force in the capital Khartoum, which subsequently spread to other areas and continues to this day. The presidential palace was controlled by the Rapid Support Force at the beginning of the conflict and has been bombarded and shelled many times.

The two sides in the Sudanese conflict recently exchanged fire in the western part of the country

27 civilians have been killed

On the 12th local time, the United Nations Office for the Coordination of Humanitarian Affairs issued a statement saying that the Sudanese Armed Forces and the Rapid Support Force have exchanged fire again in El Fasher, the capital of Northern Darfur State in western Sudan, since May 10, killing at least 27 civilians. About 130 people were injured.

The statement said that only one hospital is still operating in El Fasher, but there is a serious shortage of medicines and medical supplies. In addition, the conflict caused a large number of local civilians to flee southward from the east and northwest of El Fasher city. Since early April this year, more than 40,000 people have been displaced in the city.

According to local media reports, the two parties to the conflict exchanged fire in various areas in the east, south and north of El Fasher since the early morning of the 12th, and the fighting continued into the evening. Many residential areas in the city were hit by air strikes and shelling, causing civilian casualties. El Fasher Children’s Hospital in the south of the city was forced to evacuate.

According to reports, recently, the two parties to the conflict have fought fiercely for control of Northern Darfur.

Photo source: CCTV News Client

A market attacked in the capital of North Kordofan State in Sudan

At least 15 civilians were killed

According to Sudanese media reports on the 12th local time, the Sudanese Rapid Support Force launched an attack on a market west of Obayid City, the capital of Northern Kordofan State in the west of the country, and clashed with people in the market, killing at least 15 civilians. Death.

Recently, there have been many incidents of armed elements attacking villages and towns in Gezira and Sennar states in central Sudan, as well as in the Kordofan region and Darfur region in western Sudan. Statistics from the Sudanese civil organization Resistance Committee show that the attack has killed hundreds of civilians. The Resistance Council said the perpetrators of these attacks were members of the Rapid Support Force. The Rapid Support Force denied this.

China News Service integrated from CCTV News Client

　　As modern industries rapidly evolve, the demand for intelligent detection equipment continues to rise. Our ultrasonic sensor, with its high sensitivity and precise detection, has become the preferred solution across various sectors. Regardless of the color or material of the detected object, it operates flawlessly, delivering stable and reliable performance.For the immediate pressure, Color dection Sensor With its own coping style, it can break the predicament and usher in a new life through the quality of the product itself. https://www.hfyakexi.com/

　　Key Advantages

　　Unaffected by Color or Material: Unlike traditional sensors that may be influenced by changes in color, smoothness, or material, this ultrasonic sensor eliminates such issues, ensuring accurate detection without false alarms.

　　Exceptional Sensitivity and Precision: Whether detecting minute object variations or addressing long-distance sensing needs, it responds quickly and ensures precision every time.

　　Outstanding Environmental Adaptability: This sensor performs exceptionally well in complex environments, resisting humidity, dust, and temperature fluctuations, making it suitable for various challenging conditions.

　　Wide Application, Industry Leader

　　Our ultrasonic sensor is widely used across multiple industries, providing comprehensive support:

　　Battery Industry: Precisely detects battery size and shape, ensuring efficiency and safety in the production process.

　　Food Industry: Accurately detects the presence, position, and quantity of materials on packaging lines, enhancing production efficiency.

　　Logistics Industry: Quickly measures the size and position of goods, facilitating automatic sorting and inventory management.

　　Industrial Manufacturing: Ideal for material detection and mechanical control on production lines, boosting automation levels.

　　Multiple Models, Custom Solutions

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　　On October 8, 2023, global leader in CMOS image sensors, Omnivision, announced the launch of the world¨s first automotive CMOS image sensor, OX03H10, based on TheiaCel? technology, featuring 3.0-micron (μm) pixels. This sensor aims to provide unparalleled imaging clarity for surround-view and rear-view cameras, significantly enhancing driving safety under all lighting conditions.In order to facilitate users to have a better experience, Capactive Proximity sensor Many attempts have been made to upgrade the products, and the results are also very good, and the market performance tends to be in a good state. https://www.hfyakexi.com/

　　Product Features

　　The OX03H10 is a high-definition CMOS image sensor with a 1/2.44-inch color resolution of 1920 x 1536 (3 million pixels) and high dynamic range (HDR) capabilities. At a resolution of 1920 x 1536, the OX03H10 supports 60 frames per second (fps) output while maintaining low power consumption. Its 3.0 μm pixels are based on PureCel?Plus-S stacked technology, allowing for the smallest pixel size and highest resolution in a 1/2.44-inch optical format.

　　The TheiaCel? technology combines Omnivision’s lateral overflow integrated capacitor (LOFIC) technology with its proprietary HDR technology, delivering exceptional image quality in any lighting condition.

　　Packaging and Compatibility

　　In terms of packaging, the OX03H10 features a compact a-CSP? package and is pin-to-pin compatible with Omnivision’s OX03F10 automotive image sensor, enabling seamless upgrades. Furthermore, the OX03H10 complies with ASIL C functional safety regulations, incorporates cybersecurity features, and supports MIPI output interfaces.

　　Market Outlook

　　＾The OX03H10 image sensor excels in low-light performance, achieving an impressive 140 dB dynamic range through single exposure, effectively mitigating LED flicker (LFM). This is made possible by our TheiaCel? technology, which leverages the capabilities of LOFIC technology, combined with Omnivision’s proprietary single-exposure DCG? and our renowned separated pixel HDR technology to achieve outstanding image quality under any lighting conditions,￣ said Naresh Shetty, Automotive Product Marketing Manager at Omnivision. ＾We are excited to introduce the OX03H10 camera across all next-generation vehicle categories, enhancing visibility in all aspects of driving and vehicle ownership.￣

　　The OX03H10 is now available for sampling and is expected to enter mass production in the first half of 2025.

　　Industry Position

　　According to Yole Group, Omnivision holds the third position in the global CMOS image sensor market in 2023, with an 11% market share, trailing only Sony (45%) and Samsung (19%). In the global automotive CMOS image sensor market, Omnivision ranks second with a 30% share, just behind ON Semiconductor (33%).

　　Summary

　　The OX03H10 image sensor launched by Omnivision, featuring advanced TheiaCel? technology and exceptional image quality, is set to bring new opportunities and challenges to the automotive camera industry. This sensor not only enhances safety and driving experiences but also solidifies Omnivision’s leading position in technological innovation and market competition. With samples now available and plans for future mass production, the OX03H10 is expected to shine in the automotive market, contributing to the development of smart vehicles.

　　In today¨s era of rapid technological advancement, smart manufacturing has become a key direction for industrial transformation and upgrading. As an essential component of smart manufacturing, sensor technology plays a critical role and is regarded as the ＾cornerstone of smart manufacturing.￣ This article will delve into the significance of sensor technology and analyze its specific applications and roles within smart manufacturing.precisely because Laser sensor The rapid development of, so also brought new opportunities to the industry. https://www.hfyakexi.com/

　　The Close Relationship Between Smart Manufacturing and Sensor Technology

　　Smart manufacturing is a new production method that integrates knowledge engineering, manufacturing software systems, robotic vision, and robotic control to model the skills of technicians and expert knowledge, allowing intelligent machines to conduct small-batch production without human intervention. The development of this concept marks a new intelligent era in industrial manufacturing. Sensor technology, as a pillar of information technology, is a critical technology indispensable for realizing smart manufacturing.

　　A sensor is a device or apparatus that can sense a specified measured quantity and convert it into a usable output signal according to certain rules. These measured quantities can be physical, chemical, or biological, and the output signals are usually electrical. Sensors use physical, chemical, or biological effects to convert detected information into electrical signals, laying the foundation for information acquisition, transmission, and processing.

　　Applications of Sensor Technology in Smart Manufacturing

　　Data Collection and Monitoring

　　Sensor technology is the core of data collection and monitoring in the smart manufacturing process. By installing various sensors on production equipment, processes, and products, critical parameters such as temperature, pressure, displacement, and speed in the production process can be collected in real-time, allowing precise monitoring of the production process. This data provides a basis for production management and decision-making, as well as a foundation for subsequent data analysis and optimization.

　　Fault Diagnosis and Prediction

　　Intelligent sensors not only have data collection capabilities but also possess logical judgment and data processing capabilities. Through built-in algorithms and models, sensors can analyze and calculate the collected data, enabling timely diagnosis and prediction of equipment faults. For instance, in the manufacturing industry, engine performance evaluation, fault diagnosis, and life prediction systems based on smart sensing technology can monitor engine operating conditions in real-time, detect potential faults in advance, and take appropriate preventive and maintenance measures.

　　Smart Control and Optimization

　　Sensor technology can also be combined with automated control systems to achieve intelligent control and optimization of production processes. By collecting and analyzing production data in real-time, sensors can adjust production parameters and optimize process flows, enhancing production efficiency and product quality. For example, in smart factories, sensors can monitor the operation of production lines in real-time and adjust the production rhythm and resource allocation according to actual demand, realizing intelligent and adaptive production processes.

　　Internet of Things and Smart Connectivity

　　With the continuous development of the Internet of Things (IoT) technology, the application of sensors in smart manufacturing has also become more widespread. By integrating sensors with IoT technology, device interconnectivity and data sharing can be achieved. This improves the transparency and traceability of the production process and provides strong support for the digital transformation of smart manufacturing. For example, IoT-based smart logistics systems, which use RFID technology, can track and locate goods in real-time by reading information from sensor tags, enhancing logistics efficiency and accuracy.

　　Core Technologies and Future Trends

　　The ability of sensor technology to achieve these functions is supported by core technologies such as sensor materials, MEMS chips, drivers, and application software. MEMS chips, in particular, are an important carrier for intelligent sensors due to their small size, lightweight, low power consumption, and high reliability. In recent years, with the continuous development of MEMS technology, the performance of intelligent sensors has also significantly improved, providing more reliable and efficient technical support for smart manufacturing.

　　In the future, sensor technology will continue to develop toward high performance, high reliability, multifunctionality, and intelligence. On one hand, by continuously optimizing sensor materials and MEMS chip performance, the accuracy and stability of sensors will be improved. On the other hand, by introducing advanced technologies like artificial intelligence and big data, sensors¨ intelligence and adaptability will be enhanced. This will provide more comprehensive and robust technical support for smart manufacturing, driving industrial manufacturing to a higher level.

　　Conclusion: Sensor Technology！The Driving Force of Smart Manufacturing¨s Future

　　In conclusion, as the cornerstone of smart manufacturing, sensor technology plays a crucial role in data collection and monitoring, fault diagnosis and prediction, smart control and optimization, and IoT and smart connectivity. By continuously optimizing core technologies and developing new sensors, sensor technology will provide more efficient, reliable, and intelligent support for smart manufacturing. In the future, as smart manufacturing continues to evolve, sensor technology will keep playing its essential role, pushing industrial manufacturing toward higher levels. As technology professionals and manufacturing practitioners, we should closely follow the development trends of sensor technology, embrace new technologies and applications, and collectively drive the prosperity and growth of smart manufacturing.

　　In the digital age, smartphones have become an indispensable part of our lives, and fingerprint recognition technology provides convenience and security for device protection. Today, two main types of fingerprint recognition technologies are commonly used in smartphones: ultrasonic fingerprint recognition and optical fingerprint recognition. Although both serve the same core purpose of enhancing user security and convenience, they differ significantly in working principles, performance, applicability, and security. This article will provide a detailed comparison of these two technologies, helping users understand their advantages and disadvantages and choose the best option for their devices.consequently Color dection Sensor I also got a lot of attention and wanted to join the ranks. https://www.hfyakexi.com/

　　Ultrasonic Fingerprint Recognition

　　Working Principle

　　Ultrasonic fingerprint recognition technology uses high-frequency ultrasonic pulses to detect the fine details of fingerprints. When a user places their finger on the sensor, the sensor emits ultrasonic signals that penetrate the surface of the fingerprint and are reflected back by the ridges and valleys. The sensor receives the reflected signals and constructs a three-dimensional image of the fingerprint through complex algorithms. Compared to traditional two-dimensional images, three-dimensional images capture more detailed information, thus improving recognition accuracy.

　　Advantages

　　1.High Precision and Sensitivity: Ultrasonic technology can capture the depth and height of fingerprints, providing more accurate recognition even when the fingerprint surface is dirty or oily.

　　2.Strong Adaptability: Ultrasonic fingerprint recognition performs well regardless of whether the finger is dry, wet, or in extreme environmental conditions, reducing the failure rate due to finger status.

　　3.High Security: Ultrasonic technology can recognize live fingerprints, minimizing the risk of fake fingerprint attacks. It detects biometric features, such as skin conductivity, to ensure security.

　　Disadvantages

　　1.Higher Cost: The manufacturing and integration costs of ultrasonic sensors are relatively high, typically found only in high-end smartphones, which may limit their widespread adoption.

　　2.Slower Response: In some cases, the response speed of ultrasonic recognition may be slightly slower than that of optical recognition, affecting user experience.

　　Application Scenarios

　　Ultrasonic fingerprint recognition is widely used in high-end smartphones, tablets, and devices requiring high security levels, making it suitable for users prioritizing security and precise recognition.

　　Optical Fingerprint Recognition

　　Working Principle

　　Optical fingerprint recognition technology uses light to illuminate the fingerprint surface and captures an image of the fingerprint through a camera. When a user places their finger on the sensor, the sensor shines a light on the finger to obtain an optical image of the fingerprint. The system analyzes the feature points in the image to recognize and match the fingerprint.

　　Advantages

　　1.Lower Cost: Optical fingerprint sensors are relatively inexpensive, with mature manufacturing processes, making them widely used in mid-range and budget smartphones.

　　2.Simplicity and Usability: Optical recognition technology is familiar to users and easy to operate, providing a relatively good user experience.

　　Disadvantages

　　1.Environmentally Sensitive: Optical sensors are highly sensitive to oils, dirt, and dryness on the fingerprint surface, which may lead to recognition failures and affect usability.

　　2.Lower Security: Optical recognition primarily relies on surface images, making it susceptible to spoofing by fake fingerprints made from materials like gel or glue, posing security risks.

　　Application Scenarios

　　Optical fingerprint recognition is widely used in mid-range smartphones, portable devices, and scenarios where security requirements are relatively lower, making it suitable for everyday consumer use.

　　Future Development Trends

　　As technology continues to advance, fingerprint recognition is also evolving. In the future, ultrasonic fingerprint recognition may become more prevalent, with costs expected to decrease, allowing it to enter more mid-range devices. At the same time, optical fingerprint recognition is continuously improving, potentially incorporating more security measures, such as enhanced live detection and multimodal biometrics (combining with facial recognition, etc.).

　　Moreover, with the development of artificial intelligence and machine learning technologies, the accuracy and efficiency of fingerprint recognition may further improve, providing users with a safer and more convenient experience.

　　Conclusion

　　Both ultrasonic and optical fingerprint recognition have unique advantages and disadvantages. Users should weigh their needs, budgets, and application scenarios when making a choice. If you prioritize higher security and accuracy, ultrasonic fingerprint recognition may be the better option; however, if you are more concerned about cost and everyday usability, optical fingerprint recognition is a reasonable choice. Understanding the differences between these two technologies can help you make a more informed decision when purchasing a smartphone.

　　In today¨s era of rapid technological advancement, smart manufacturing has become a key direction for industrial transformation and upgrading. As an essential component of smart manufacturing, sensor technology plays a critical role and is regarded as the ＾cornerstone of smart manufacturing.￣ This article will delve into the significance of sensor technology and analyze its specific applications and roles within smart manufacturing.Under people’s attention Laser sensor Finally grow into what people need, born for the market and come for the demand. https://www.hfyakexi.com/

　　The Close Relationship Between Smart Manufacturing and Sensor Technology

　　Smart manufacturing is a new production method that integrates knowledge engineering, manufacturing software systems, robotic vision, and robotic control to model the skills of technicians and expert knowledge, allowing intelligent machines to conduct small-batch production without human intervention. The development of this concept marks a new intelligent era in industrial manufacturing. Sensor technology, as a pillar of information technology, is a critical technology indispensable for realizing smart manufacturing.

　　A sensor is a device or apparatus that can sense a specified measured quantity and convert it into a usable output signal according to certain rules. These measured quantities can be physical, chemical, or biological, and the output signals are usually electrical. Sensors use physical, chemical, or biological effects to convert detected information into electrical signals, laying the foundation for information acquisition, transmission, and processing.

　　Applications of Sensor Technology in Smart Manufacturing

　　Data Collection and Monitoring

　　Sensor technology is the core of data collection and monitoring in the smart manufacturing process. By installing various sensors on production equipment, processes, and products, critical parameters such as temperature, pressure, displacement, and speed in the production process can be collected in real-time, allowing precise monitoring of the production process. This data provides a basis for production management and decision-making, as well as a foundation for subsequent data analysis and optimization.

　　Fault Diagnosis and Prediction

　　Intelligent sensors not only have data collection capabilities but also possess logical judgment and data processing capabilities. Through built-in algorithms and models, sensors can analyze and calculate the collected data, enabling timely diagnosis and prediction of equipment faults. For instance, in the manufacturing industry, engine performance evaluation, fault diagnosis, and life prediction systems based on smart sensing technology can monitor engine operating conditions in real-time, detect potential faults in advance, and take appropriate preventive and maintenance measures.

　　Smart Control and Optimization

　　Sensor technology can also be combined with automated control systems to achieve intelligent control and optimization of production processes. By collecting and analyzing production data in real-time, sensors can adjust production parameters and optimize process flows, enhancing production efficiency and product quality. For example, in smart factories, sensors can monitor the operation of production lines in real-time and adjust the production rhythm and resource allocation according to actual demand, realizing intelligent and adaptive production processes.

　　Internet of Things and Smart Connectivity

　　With the continuous development of the Internet of Things (IoT) technology, the application of sensors in smart manufacturing has also become more widespread. By integrating sensors with IoT technology, device interconnectivity and data sharing can be achieved. This improves the transparency and traceability of the production process and provides strong support for the digital transformation of smart manufacturing. For example, IoT-based smart logistics systems, which use RFID technology, can track and locate goods in real-time by reading information from sensor tags, enhancing logistics efficiency and accuracy.

　　Core Technologies and Future Trends

　　The ability of sensor technology to achieve these functions is supported by core technologies such as sensor materials, MEMS chips, drivers, and application software. MEMS chips, in particular, are an important carrier for intelligent sensors due to their small size, lightweight, low power consumption, and high reliability. In recent years, with the continuous development of MEMS technology, the performance of intelligent sensors has also significantly improved, providing more reliable and efficient technical support for smart manufacturing.

　　In the future, sensor technology will continue to develop toward high performance, high reliability, multifunctionality, and intelligence. On one hand, by continuously optimizing sensor materials and MEMS chip performance, the accuracy and stability of sensors will be improved. On the other hand, by introducing advanced technologies like artificial intelligence and big data, sensors¨ intelligence and adaptability will be enhanced. This will provide more comprehensive and robust technical support for smart manufacturing, driving industrial manufacturing to a higher level.

　　Conclusion: Sensor Technology！The Driving Force of Smart Manufacturing¨s Future

　　In conclusion, as the cornerstone of smart manufacturing, sensor technology plays a crucial role in data collection and monitoring, fault diagnosis and prediction, smart control and optimization, and IoT and smart connectivity. By continuously optimizing core technologies and developing new sensors, sensor technology will provide more efficient, reliable, and intelligent support for smart manufacturing. In the future, as smart manufacturing continues to evolve, sensor technology will keep playing its essential role, pushing industrial manufacturing toward higher levels. As technology professionals and manufacturing practitioners, we should closely follow the development trends of sensor technology, embrace new technologies and applications, and collectively drive the prosperity and growth of smart manufacturing.

　　Recently, Ruichuang Micro-Nano, a leading enterprise in infrared thermal imaging, announced that it has received a formal designation letter from Geely Zeekr, being selected as the designated supplier of infrared thermal imaging night vision cameras for a specific project within Zeekr Automotive.In the eyes of peers, Slot Sensor It has good qualities that people covet, and it also has many loyal fans that people envy. https://www.hfyakexi.com/

　　Strong Collaboration for Intelligent Driving

　　The partnership between Ruichuang Micro-Nano and Zeekr Automotive not only signifies high recognition of both parties’ technological strengths but also represents a deep exploration into the future of intelligent driving. By integrating their respective resources, the two companies aim to jointly develop an all-weather, all-scenario intelligent driving perception solution, providing consumers with a safer, more reliable, intelligent, and comfortable driving experience.

　　Custom Solutions to Meet Diverse Needs

　　The vehicle-mounted infrared thermal imaging system crafted by Ruichuang Micro-Nano is a compact, automotive-grade product specifically tailored for the automotive industry. This system encompasses various types, including single infrared, dual-spectrum fusion, tri-spectral, and ECU variants, with resolutions covering 256, 384, 640, 1280, and 1920 pixels. It fully satisfies the diverse needs of passenger vehicles, commercial vehicles, and intelligent driving environmental perception solutions.

　　All-Weather Perception to Ensure Driving Safety

　　In nighttime and adverse weather conditions, drivers’ visibility can be severely impaired, increasing the risk of accidents. Ruichuang Micro-Nano’s vehicle-mounted infrared thermal imaging system, whether installed as original equipment or retrofitted, can effortlessly penetrate darkness, glare, haze, and smoke, effectively reducing the interference of rain and snow on visibility, as well as on ADAS and AEB systems. Furthermore, this system boasts an exceptionally high sensitivity recognition capability for living beings on the road, such as pedestrians and animals, providing more accurate and reliable perception information for Zeekr Automotive’s intelligent driving system.

　　Automotive-Grade Chips for Enhanced Safety and Reliability

　　Ruichuang Micro-Nano has launched 12μm and 8μm infrared thermal imaging chips that have passed the AEC-Q100 Grade 2 automotive certification, along with ASIC-ISP infrared thermal imaging image processing chips designed specifically for intelligent driving systems and smart cockpits. These advancements significantly enhance the vehicle’s perception capabilities in complex environments, providing robust safety assurances for drivers, passengers, and all road users.

　　Industry Recognition and Market Leadership

　　In recent years, Ruichuang Micro-Nano has gained a strong foothold in the vehicle-mounted infrared thermal imaging sector, securing designated collaborations with numerous passenger and commercial vehicle manufacturers and autonomous driving companies, including BYD, Geely, Yuanhang Passenger Vehicles, Didi Autonomous Driving, TuSimple, Zhijia Technology, TAGE Intelligent Transportation, and ZKHT. The recent designation from Zeekr Automotive further validates Ruichuang Micro-Nano’s comprehensive strengths in technology development, product performance, supply delivery, and market presence.

　　Ruichuang Micro-Nano will continue to adhere to the philosophy of ＾creating incremental value for customers through technological advancement,￣ constantly promoting the development and innovation of infrared thermal imaging technology. The company looks forward to collaborating with more partners to jointly forge a bright future for intelligent driving, offering more advanced and reliable vehicle-mounted perception solutions to the global automotive industry, and contributing to a safer, smarter, and more convenient transportation environment.

　　Summary

　　Ruichuang Micro-Nano’s designation as a supplier for Geely Zeekr marks a significant milestone in the advancement of vehicle-mounted infrared thermal imaging technology. This collaboration not only enhances the safety and reliability of intelligent driving solutions but also reinforces Ruichuang’s position as a leader in the automotive sector. As the company continues to innovate and expand its partnerships, it is poised to play a pivotal role in shaping the future of intelligent transportation, delivering state-of-the-art solutions that meet the evolving needs of the automotive industry.

　　In the digital age, smartphones have become an indispensable part of our lives, and fingerprint recognition technology provides convenience and security for device protection. Today, two main types of fingerprint recognition technologies are commonly used in smartphones: ultrasonic fingerprint recognition and optical fingerprint recognition. Although both serve the same core purpose of enhancing user security and convenience, they differ significantly in working principles, performance, applicability, and security. This article will provide a detailed comparison of these two technologies, helping users understand their advantages and disadvantages and choose the best option for their devices.Down-to-earth right Ultrasonic Sensor In-depth research is the only way to pursue development. https://www.hfyakexi.com/

　　Ultrasonic Fingerprint Recognition

　　Working Principle

　　Ultrasonic fingerprint recognition technology uses high-frequency ultrasonic pulses to detect the fine details of fingerprints. When a user places their finger on the sensor, the sensor emits ultrasonic signals that penetrate the surface of the fingerprint and are reflected back by the ridges and valleys. The sensor receives the reflected signals and constructs a three-dimensional image of the fingerprint through complex algorithms. Compared to traditional two-dimensional images, three-dimensional images capture more detailed information, thus improving recognition accuracy.

　　Advantages

　　1.High Precision and Sensitivity: Ultrasonic technology can capture the depth and height of fingerprints, providing more accurate recognition even when the fingerprint surface is dirty or oily.

　　2.Strong Adaptability: Ultrasonic fingerprint recognition performs well regardless of whether the finger is dry, wet, or in extreme environmental conditions, reducing the failure rate due to finger status.

　　3.High Security: Ultrasonic technology can recognize live fingerprints, minimizing the risk of fake fingerprint attacks. It detects biometric features, such as skin conductivity, to ensure security.

　　Disadvantages

　　1.Higher Cost: The manufacturing and integration costs of ultrasonic sensors are relatively high, typically found only in high-end smartphones, which may limit their widespread adoption.

　　2.Slower Response: In some cases, the response speed of ultrasonic recognition may be slightly slower than that of optical recognition, affecting user experience.

　　Application Scenarios

　　Ultrasonic fingerprint recognition is widely used in high-end smartphones, tablets, and devices requiring high security levels, making it suitable for users prioritizing security and precise recognition.

　　Optical Fingerprint Recognition

　　Working Principle

　　Optical fingerprint recognition technology uses light to illuminate the fingerprint surface and captures an image of the fingerprint through a camera. When a user places their finger on the sensor, the sensor shines a light on the finger to obtain an optical image of the fingerprint. The system analyzes the feature points in the image to recognize and match the fingerprint.

　　Advantages

　　1.Lower Cost: Optical fingerprint sensors are relatively inexpensive, with mature manufacturing processes, making them widely used in mid-range and budget smartphones.

　　2.Simplicity and Usability: Optical recognition technology is familiar to users and easy to operate, providing a relatively good user experience.

　　Disadvantages

　　1.Environmentally Sensitive: Optical sensors are highly sensitive to oils, dirt, and dryness on the fingerprint surface, which may lead to recognition failures and affect usability.

　　2.Lower Security: Optical recognition primarily relies on surface images, making it susceptible to spoofing by fake fingerprints made from materials like gel or glue, posing security risks.

　　Application Scenarios

　　Optical fingerprint recognition is widely used in mid-range smartphones, portable devices, and scenarios where security requirements are relatively lower, making it suitable for everyday consumer use.

　　Future Development Trends

　　As technology continues to advance, fingerprint recognition is also evolving. In the future, ultrasonic fingerprint recognition may become more prevalent, with costs expected to decrease, allowing it to enter more mid-range devices. At the same time, optical fingerprint recognition is continuously improving, potentially incorporating more security measures, such as enhanced live detection and multimodal biometrics (combining with facial recognition, etc.).

　　Moreover, with the development of artificial intelligence and machine learning technologies, the accuracy and efficiency of fingerprint recognition may further improve, providing users with a safer and more convenient experience.

　　Conclusion

　　Both ultrasonic and optical fingerprint recognition have unique advantages and disadvantages. Users should weigh their needs, budgets, and application scenarios when making a choice. If you prioritize higher security and accuracy, ultrasonic fingerprint recognition may be the better option; however, if you are more concerned about cost and everyday usability, optical fingerprint recognition is a reasonable choice. Understanding the differences between these two technologies can help you make a more informed decision when purchasing a smartphone.