Based on the foundation of proprietary technologies and SenseCore AI infrastructure, SenseTime has rapidly opened up AI application in multiple vertical scenarios, and is empowering various industries.
Adhering to originality, SenseTime Research is one of the most prolific contributors of AI related papers in the research community. SenseTime Research has cooperated with dozens of top universities and research institutions internationally. The successful research collaborations between academia and industry have applied high-quality research to the real world and established an effective talent cultivation mechanism.
SenseFoundry Enterprise is our software platform to facilitate and accelerate the digital transformation of our enterprise customers, addressing complex demands from different industry verticals.
SenseME software platform offers a full suite of products including SDKS, AI sensors and ISP chips, and enables a broad range of IoT devices to facilitate perceptial intelligence and content enhancement.
We provide support to city administrators by offering our SenseFoundry together with mini AIDC through our AI-as-a-Service. With self-evolving capabilities, SenseFoundry is able to train AI models locally with the input of just a tiny amount of data, meeting the requirements of the local government. We developed 11 traffic management applications that are installed on SenseFoundry for City. SenseFoundry can fully utilize and analyze limited data generated by IoT devices installed on law enforcement cars and enable end-to-end traffic violation management, making mobile traffic law enforcement possible. SenseFoundry achieved detection of not wearing safety belts with a precision rate of 94% and a recall rate of 94%, and detection of using mobile phones while driving with a precision rate of 86% to 96% and a recall rate of 93% to 94%, along with child on-board safety, license plate recognition, broken headlight, inspection vehicle recognition, vehicle maker and model recognition. It has increased the safety awareness of drivers to abide by traffic regulations and improved overall traffic control efficiency by reducing the occurrence of severe accidents.