Cashier Fraud Monitoring
Suppresses fraud due to accidental and intentional miscalculations in self-checkout areas through camera footage analysis and POS linkage to achieve loss prevention in short-staffed stores.
Suppresses fraud due to accidental and intentional miscalculations in self-checkout areas through camera footage analysis and POS linkage to achieve loss prevention in short-staffed stores.
Early detection of suspicious behavior by using security cameras and surveillance systems. Realization of a safe and secure society.
Optimizing production sites through operation procecss analysis focused on individual factory workers while reducing installation costs.
Easily recognize complex human actions by using about 100 pre-learned basic action models and action recognition rules created by no-code UI.
Realizing more detailed visualization of purchasing behavior at real, supporting realization of smart stores that provide personalized customer experiences.
Enable communication support and health checks by capturing subtle and complex facial expressions from facial images, and so on.
This technology enables real-time tracking of the same person with multiple different cameras.
Providing 27 functions of traffic image analysis functions in 5 categories, for efficient and low-cost safe traffic control and management.
This technology enables domain experts to validate image classifications made by AI, by using a neuro-symbolic approach to provide explanations for those classifications.
Immediately possible to detect when the camera direction is shifted. As well as the moment that stable operation of the image AI (such as preventing the operation from continuing while the camera is shifted) is possible.
Given a visual task, our system figures out the best way to solve it without need of user expertise in AI.