A team at the University of Electronic Science and Technology of China is currently working on a project to improve China's police car fleet. Rather than bringing separate devices to use in-car, the police force will soon be able to take advantage of SUVs with built-in face-scanning technology.
These all-new SUVs will have a 360-degree camera mounted on the roof that's capable of scanning and identifying faces up to 60 meters away, reportedly even at speeds up to 75 mph. These advanced cameras will also be able to discern an individual's age, race and gender, as well as pick up on licence plate numbers.
After unveiling these smart SUVs in the city of Chengdu, the team plans to put this new police car fleet to the test at this year's G-20 summit in Hangzhou.
Face-Scanning SUVs
China's New Police Car Fleet Includes Built-In Face-Scanning Technology
Trend Themes
1. Facial Recognition Technology - The use of built-in face-scanning technology in police car fleet is a disruptive innovation opportunity that can enhance law enforcement capabilities.
2. Mobile Surveillance - The integration of 360-degree cameras in SUVs enables mobile surveillance, creating disruptive innovation opportunities for security and monitoring industries.
3. Real-time Identification - The ability of the advanced cameras to instantly identify faces, age, race, gender, and license plate numbers opens up disruptive innovation opportunities for identity verification and security sectors.
Industry Implications
1. Law Enforcement - The introduction of face-scanning SUVs presents a disruptive innovation opportunity to upgrade law enforcement techniques and improve public safety.
2. Security - The integration of facial recognition technology in vehicles creates disruptive innovation opportunities for the security industry to enhance surveillance and identification capabilities.
3. Monitoring - The use of mobile surveillance systems in police car fleets offers disruptive innovation opportunities for the monitoring industry to improve situational awareness and response times.