NNeuromorphic Visual Information Processing Technology is a noble approach to processing visual data. Based on our own vision system, NVIP offers robustness and accuracy in real-life environment tasks.
Early accurate detection of vulnerable road users, such as pedestrians, cyclists as well as motor-cyclists and persons with disablities or reduced mobility can save lives.
Detection in various environment conditions - particularly in low-light and bad weather situations would be paramount in applicability of any detection device. NVIP accounts for this through its inherent robustness and accuracy.
A short demonstration of ODIGA's neuromorphic vision system
Through improving driver-car communication, better driver assistance and safety could be achieved. NVP has been previously tested on facial images to analyse emotional state and concentration level. This is turn allows early warning to be issued to the driver should they become inattentive.
Our early tests showed inattentiveness could be detected through tracking iris movements, and affective computing (for prevention of road-rage incidents), FACS was integrated to analyse key ROIs.
Application of neuromorphic vision isn't limited to traffic safety. Our early works show that it is as effective in non-urban environment as it is in city settings. Potential applications for neuromorphic vision in this respect are security and surveillance, with examples of shown above.