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The Dahua Smart Cargo Truck Solution enables in-vehicle visual monitoring through intelligent technologies, provides real-time supervision during driving, and identifies and warns of illegal driving behaviors and potential driving risks. It effectively reduces vehicle accident rates, ensures personnel safety, and supports post-incident evidence collection to improve overall enterprise operational efficiency.
Driving Seat
Vehicle Blind Spots
Fleet management
Driving Seat
Vehicle Blind Spots
Fleet management
Trucks operate in complex urban traffic environments, with most accidents stemming from driver fatigue or distracted driving, resulting in loss of life and property. Installing active safety systems provides multiple safety alerts, including fatigue detection, collision warnings, and lane departure warnings.
Using DMS cameras and ADAS systems, the system continuously monitors driver misconduct (such as smoking, using phones, yawning, or closing eyes) and hazardous driving conditions (such as following too closely or lane drifting). It triggers audible and visual alerts to prompt immediate correction and reports incidents to the central platform. Vehicles that repeatedly exhibit dangerous driving behavior are subject to remote manual intervention.
Trucks have significant blind spots—including four major areas: the front blind spot, rear blind spot, mirror blind spot, and A/B-pillar blind spot—making collisions with pedestrians and non-motorized vehicles in these areas common and often resulting in serious accidents with casualties.
Surround-view cameras installed around the vehicle body generate a 360-degree panoramic view of the surrounding environment through image synthesis, distortion correction, and raw image overlay and fusion technology. This real-time feed is transmitted to the display screen, providing drivers with comprehensive visibility during turns or reversing maneuvers to enhance situational awareness.
Without real-time video or trajectory recording, it is impossible to reconstruct the full process of loading, unloading, and transporting goods. If a loss occurs (such as theft during transit, omission during loading or unloading, or internal theft by personnel) it is difficult to quickly determine the time, location, and responsible party. Subsequent investigations often rely on human confessions or scattered external evidence, which is inefficient and can easily lead to a “lack of evidence” situation.
By leveraging technologies such as the Internet of Things, big data, artificial intelligence, cloud computing, and GPS positioning, the fleet can be operated and managed efficiently and intelligently. This can significantly improve transportation efficiency, reduce operating costs, enhance safety, and increase customer satisfaction.
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