BlinkAI Technologies, a provider of AI software for enhancing camera imagery, today announced RoadSight, a software solution designed specifically for improving the performance of visible-light cameras on automobiles within low-light conditions. Advancing beyond the conventional Image Signal Processor (ISP) pipeline, BlinkAI’s RoadSight utilizes patented machine learning algorithms and computer vision to achieve up to 500% higher scene illumination that dramatically improves object detection and other computer vision tasks in challenging low-light driving scenarios.
In addition to improving the detection of pedestrians and vehicles through front-facing, visible-light cameras in autonomous cars and advanced driver-assistance systems (ADAS) in traditional automobiles, RoadSight also enhances interior cabin monitoring and better illuminates the side and rear cameras during nighttime or early morning parking scenarios. BlinkAI’s RoadSight software solution can be seamlessly integrated via System-on-Chip (SoC) environments with automotive image sensors to improve onboard camera efficacy and reliability in all types of low-light situations.
BlinkAI is currently collaborating with top automotive manufacturers and automotive technology suppliers to trial the functionality of its technology in both autonomous and traditional vehicles within poor lighting and bad weather environments. In addition to mitigating potential collisions in nighttime driving scenarios, the RoadSight system has proven to comprehensively enhance the accuracy of a broad class of automotive perception tasks by providing real-time, high-quality images as a foundation for computer vision applications.