Product Brief
The binocular facial recognition terminal integrates functions such as facial recognition, palm recognition, temperature monitoring, mask wearing judgment, mask wearing normal face recognition, and live detection. In terms of epidemic prevention and control, the combination of non-contact temperature measurement function with facial and palm recognition method not only does not affect the recognition efficiency, but also monitors the body temperature in real time and pushes the front-end data to the server in real time, providing effective data support for screening and tracing suspected patients and mobile personnel.
Product Description
HJ-D2plus is equipped with a powerful CPU and deep autonomous learning facial recognition algorithm, opening a new chapter in the field of biometric recognition. This version supports a database of 50000 facial images, with a capacity of 5000 palm images. The facial recognition speed is less than 0.3 seconds, and the palm recognition speed is less than 0.6 seconds. It adopts binocular optoelectronic hardware and live recognition algorithm, and has strong anti-counterfeiting ability against attacks on printed high-definition facial images, photos, facial image videos, and various material masks. In addition to a powerful CPU and facial and palm algorithms, the HJ-D2plus is also equipped with an ultra-low light wide dynamic camera, allowing the terminal to perform face recognition in extremely dark environments (0.5 lux). At the same time, a microwave detector is applied to accurately calculate the distance between the user and the device, thereby waking up the recognition terminal. HJ-D2plus is designed to be sturdy and durable, capable of operating normally in extreme weather conditions, and can perfectly withstand extreme cold temperatures (-30 ° C) and extreme hot temperatures (60 ° C); It can meet the IK04 protection level standard.
Product functional features
Body temperature detection: By combining facial and palm recognition methods, non-contact real name temperature measurement is carried out, with a temperature measurement range of 30-45 ℃ and a temperature measurement error of less than 0.5 ℃. If the body temperature is higher than the preset value, an alarm will be issued;
Mask wearing recognition: facial recognition and detection of mask wearing by personnel can be performed;
Construction of epidemic prevention system: Combining with the comprehensive management platform of the smart park to build an epidemic prevention system, achieving efficient and intelligent management through online self declaration, offline traffic management, non-contact attendance and real-time data monitoring, etc;
Live detection non-contact recognition: binocular live anti-counterfeiting detection, facial recognition speed less than 0.3 seconds, palm recognition speed less than 0.6 seconds;
Large capacity database: 1: N facial and palm recognition, supporting up to 50000 ultra large capacity facial databases and 5000 palm capacities;
Intelligent wake-up: using microwave detectors to accurately calculate the distance between the user and the device, thereby waking up the recognition terminal;
Extreme lighting recognition: Equipped with a built-in ultra-low light wide dynamic camera, it can clearly and accurately recognize faces and palms in extreme lighting environments (0.5lux-50000lux);
Application Scenario:
It can be maturely applied in scenarios including ports, logistics, hotels, public security, procuratorial, judicial, smart prisons, schools, safe communities, scenic spots, governments, banks, industrial parks, smart buildings, etc.
Product functional features
Body temperature detection: By combining facial and palm recognition methods, non-contact real name temperature measurement is carried out, with a temperature measurement range of 30-45 ℃ and a temperature measurement error of less than 0.5 ℃. If the body temperature is higher than the preset value, an alarm will be issued;
Mask wearing recognition: facial recognition and detection of mask wearing by personnel can be performed;
Construction of epidemic prevention system: Combining with the comprehensive management platform of the smart park to build an epidemic prevention system, achieving efficient and intelligent management through online self declaration, offline traffic management, non-contact attendance and real-time data monitoring, etc;
Live detection non-contact recognition: binocular live anti-counterfeiting detection, facial recognition speed less than 0.3 seconds, palm recognition speed less than 0.6 seconds;
Large capacity database: 1: N facial and palm recognition, supporting up to 50000 ultra large capacity facial databases and 5000 palm capacities;
Intelligent wake-up: using microwave detectors to accurately calculate the distance between the user and the device, thereby waking up the recognition terminal;
Extreme lighting recognition: Equipped with a built-in ultra-low light wide dynamic camera, it can clearly and accurately recognize faces and palms in extreme lighting environments (0.5lux-50000lux);
Application Scenario:
It can be maturely applied in scenarios including ports, logistics, hotels, public security, procuratorial, judicial, smart prisons, schools, safe communities, scenic spots, governments, banks, industrial parks, smart buildings, etc.
