Overview
The engineering vehicle recognition algorithm is based on deep learning AI vision technology. It can be directly integrated with existing video streams for analysis, enabling real-time recognition and capturing of engineering vehicles within the field of view. The recognition distance exceeds 100 meters, with an accuracy rate of over 90%.
Key Features
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Capable of recognizing multiple vehicle types, such as excavators, road rollers, bulldozers, cranes, pile drivers, and forklifts.
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Compatible with existing systems; can integrate video streams from fixed surveillance cameras or unmanned aerial vehicles (UAVs).
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Supports recognition from multiple angles and orientations.
Workflow
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Image Acquisition: Front-end surveillance cameras upload video streams in real-time to the system server.
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Algorithm Analysis: The engineering vehicle recognition system reads the video stream, decodes it, and performs analysis.
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Real-time Alert: If an engineering vehicle is detected, the software captures and saves an image, while simultaneously triggering a voice alarm.
Application Scenarios
Ideal for smart construction sites, environmental protection monitoring, areas along cable lines, and high-risk construction zones such as those near high-voltage power lines, mining areas, and other similar scenarios.
Illustrations of Identifiable Vehicles
