Our team has built a Person detection system that can detect a person at more than 20 meters and can measure the distance of the person from the device with an accuracy of 1 foot. If the person is within a pre-defined distance from the embedded device that runs the person detector Vision Intelligence model, we trigger a buzzer to warn of an impending collision. It is a small self-contained device that can be mounted on a forklift or other vehicles to prevent accidental human-machine collision due to blind spots or when the operator is distracted. It can be mounted on a forklift or other vehicles to prevent accidental human-machine collision due to blind spots or when the operator is distracted. We built this Vision Intelligence solution using the latest advances in training Neural Networks.

Vision Intelligence solutions use the latest innovation in Neural Networks that are trained with examples of pictures and videos of humans wearing safety gear just like a human brain. We have optimized these AI models with hardware acceleration running on an inexpensive embedded processor. This reduces the cost of ownership. Also, the video feed is not recorded or transmitted to any external hard drive for this device to work. This embedded computer will run the Vision Intelligence model in a stand-alone mode. The only external communication will be notification and reports to supervisors if configured to do so. This is designed with user privacy as an important design principle.