CrossControl advances virtual fencing and object detection

Industrial vehicles such as forklifts, cranes and tractors have come a long way in terms of applying technology, enhancing performance with improved operation and safety. With the advancements in computer vision, robotics and artificial intelligence (AI), these vehicles now are equipped with functionality that utilizes information to support and optimize performance. One of the key enablers of these advances is the integration of machine learning (ML) derived platforms and powerful computers, neural processing units and cameras integrated into the digital system.

System designers and OEMs can get started with AI and computer vision using just a standard Ethernet camera and a Cortex A35 dual- or quad-core next-generation display. Using the detection and recognition of objects, designers can implement and train neural networks to realize new solutions for process guidance, automation, augmented reality and operator awareness. For example, the dual-core CCpilot V700 from CrossControl can provide adequate detections for automating processes.