KASTA Tests Computer Vision-Based “Antinaezd” System for Warehouse Equipment
The system is designed to be installed on warehouse machinery.
KASTA has tested its Antinaezd (Collision Prevention) system, which uses computer vision. The solution is designed for warehouse equipment. The company evaluated the platform in three basic scenarios: detecting a person in the vehicle’s path, warning the operator when someone gets dangerously close, and bringing the machine to an emergency stop.
A key feature of the platform is that employees do not need to wear personal radio tags for the system to work. Instead, its algorithm analyzes images captured by a camera. This approach can significantly improve safety in warehouse facilities.
“When developing the system, we took into account that people near a forklift may include not only regular employees but also contractors and visitors who do not have special tags. That is why we chose computer vision and separately tested the system in scenarios involving person detection, operator warnings, and automatic equipment stops. It was important for us to test the entire sequence of actions, not just pedestrian recognition,” said Timofey Konev, CEO of KASTA LLC.
