Excavators are core equipment in construction, mining and infrastructure projects, but blind spots caused by large vehicle bodies, articulated boom structures and complex job sites have long been major safety hazards that restrict operation efficiency and threaten on-site personnel safety. Automatic blind spot operation has become a key technical direction to solve this industry pain point.
Traditional excavator operation relies on rearview mirrors and on-site signalmen to avoid blind spot risks, which has high labor cost, is easily affected by bad weather and night conditions, and cannot achieve continuous full-coverage risk perception. The automatic blind spot operation system builds a full-range perception framework through multi-sensor fusion: surround-view cameras and millimeter-wave radars detect obstacles and personnel in hidden areas, while high-precision IMU sensors track the real-time attitude of the boom, arm and bucket, calculating the dynamic operation range of the excavator in real time.
By combining environmental perception and self-attitude data, the system can automatically identify blind spot risks, trigger sound and light early warning, and even assist in limiting action when the operation range approaches obstacles. It works stably in narrow construction sites, underground tunnels and night operation scenarios, effectively reducing human error and collision accidents.
For the construction industry, excavator automatic blind spot operation not only greatly improves on-site operation safety, but also reduces the labor cost of on-site command, improves the continuity of construction operation, and serves as an important part of the intelligent and unmanned transformation of engineering machinery.