Moshi Intelligent Commercial Vehicle Mass Production Products

2024-04-30 00:00
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The Magic Vision Intelligent Commercial Vehicle AEB system relies on the integration of high-definition cameras and forward millimeter-wave radars, and uses deep learning technology to achieve multiple functions such as image recognition, tracking, and dangerous behavior assessment. The Magic Vision Intelligent Commercial Vehicle ADAS front-view integrated machine uses automotive-grade embedded video processing chips and is equipped with a deep learning perception algorithm independently developed by Vision Intelligence. It can detect road scenes such as lane lines, vehicles, pedestrians, and traffic signs. Combined with Magic Vision Intelligence's unique high-precision ranging algorithm, it enables commercial vehicle customers to realize the function of commercial vehicle forward perception. The product complies with commercial vehicle regulations such as JT/T1178 and JT/T883. The Magic Vision Intelligent Magic Shield New National Standard Car Driving Recorder is a cost-effective and extended intelligent vehicle terminal that integrates vehicle-mounted video monitoring and driving records, realizing DMS driver behavior analysis, ADAS driving assistance, BSD blind spot warning, 360 panoramic view, video recording, vehicle driving information recording, and wireless data upload. With the center software, it can also realize central monitoring, remote management, and driving status data analysis. The Magic Shield 360 intelligent surround view system deploys multiple cameras around the vehicle and uses panoramic image stitching and image equalization algorithms to achieve 360° seamless integration of 4-6 high-definition wide-angle images. The driver can monitor the vehicle's surrounding environment in real time through the in-car display screen, completely eliminating blind spot hazards, aiming to improve the driving safety of large vehicles. The system can expand related functions such as fuel anti-theft, transparent chassis, and vehicle approach warning.