Even under poor visibility conditions, such as night, rain, snow or fog, a new Kyocera night vision device detects objects that pose a collision risk. This night vision system for vehicles features the world’s first headlamp that can emit both white (RGB) and near-infrared (NIR) light on the same optical axis. This eliminates image parallax and enables more accurate object detection than other technologies. The system integrates RGB NIR sensors using a special AI-based image fusion algorithm developed by the company for this high-performance object detection.
The integrated spotlight also contains an extremely bright, high-efficiency, miniaturised GaN laser developed by Kyocera SLD Laser, Inc. In addition, the system has an automatic beam shaping function for the RGB and NIR light. It prevents blinding oncoming drivers by automatically switching the visible light to a low beam angle when needed, while allowing the NIR light to remain in high beam mode.
The vehicle-mounted RGB NIR sensor uses original AI technology developed by Kyocera Advanced Technology Laboratories for image data fusion. Rather than simply combining image data from the two sources, Kyocera’s system uses qualitative AI to compare and evaluate both RGB and NIR images to distinguish between pedestrians and vehicles with high accuracy, even in poor visibility conditions.
In addition, Kyocera has developed another generative AI function to create training data for more cost-effective learning and product development. Conventional methods require the collection of large amounts of NIR training data. This is a time-consuming and costly process. Kyocera’s AI technology, on the other hand, generates training data automatically. As a result, this approach can significantly reduce training costs while ensuring high detection accuracy.
The global market for automotive night vision systems has been estimated at approximately $2.172 billion by 2020. Furthermore, the market is expected to grow at a compound annual growth rate of more than 16.5%3 from 2020 to 2027.