Chinese scientists and international researchers have developed a new machine vision system that reacts up to four times faster than current automated technologies. This new hardware, inspired by the human brain, detects moving objects more quickly and boosts safety for autonomous vehicles, drones, and robots. Automated vehicles traveling at 80 km/h usually take half a second to respond to hazards, while humans react in 0.15 seconds. The delay means that vehicles travel an extra 13 meters before braking. The new system uses a special chip—a two-dimensional synaptic transistor array—that captures motion changes within 100 microseconds, much faster than human perception. The chip stores motion data for over 10,000 seconds and can handle more than 8,000 uses without losing performance. Instead of processing the entire image, it focuses only on important movements. This makes vision processing more than ten times faster than traditional methods. Tests showed a 213.5% improvement in hazard detection in driving and a 740.9% boost in robotic arm precision. In real conditions, the system still outperformed old models, reducing braking distance by 4.4 meters at 80 km/h. For drones, reaction times improved by at least one-third, enhancing flight safety and efficiency. Gao Shuo, associate professor at Beihang University and co-author, said, "Our approach demonstrates a 400 per cent speed-up, surpassing human-level performance while maintaining or improving accuracy through temporal priors." He added, "In a traffic accident, these 4 metres often determine whether a collision occurs or it’s just a close call." The technology is set to advance collaborations with Chinese automotive and drone firms. Gao emphasized the goal: to give autonomous vehicles "hardware-level reflexes" to respond faster than humans to sudden road hazards, making unmanned systems safer overall.