Our Neural networks based Gait Recognition recognizes physiological parameters such as built, height, walking style of a person. These parameters are used for generating the gait patterns and identification person.
It’s generally difficult to collect clear data of a moving object with a regular camera, which gives less reliable data, which impacts AI model accuracy and training.
We have custom-built camera with direct image data output, having capability to capture fast moving objects crystal clear, and at 15-20 fps rate with 4k resolution. Even objects at long distances can be captured clearly without losing much pixel information.
We are also providing a user-friendly dashboard to analyze real time gait analysis, including custom enhanced image like adjusting contrast, zooming in/out the region of interest and many more.