Integration of AI and ML will pave a healthy growth pathway for the collision avoidance system industry. AI and machine learning are being harnessed to make collision avoidance systems more intelligent and adaptive. These technologies enable systems to better recognize and respond to complex driving situations, improving the accuracy of collision predictions and reducing false alarms, making the technology more effective and user-friendly.
Citing an example, in June 2023, OmniPro unveiled a cutting-edge collision avoidance system driven by visual artificial intelligence. This system is designed to swiftly detect and notify forklift operators about potential hazards in their surroundings, such as pedestrians, objects, and other vehicles. What sets it apart is its adaptability to various operational settings. It captures images and records instances of zone breaches, offering a wealth of data through a cloud-based reporting system to facilitate informed safety decisions. Notably, this system does not rely on wearables or tags, ensuring a streamlined user experience with minimal disruptive alerts.