ClairBox-R AI Box
Traffic AI Box with AI Video Processing and Signal Optimization
ClairBox-R AI Box represents the pinnacle of intelligent video recognition devices tailored for traffic applications. Powered by cutting-edge AI technology and boasting formidable video processing capabilities, AI Box excels in real-time capture and analysis of video content. Its core strength lies in its deep learning algorithms, endowing the device with human-like understanding and recognition abilities, accurately identifying shapes of road users and environmental features. With millisecond-level processing speed, it achieves high accuracy vehicle detection, road user classification, and event identification, revolutionizing traffic detection.
Beyond its prowess in video recognition, AI Box serves as a signal algorithm generation hub, streamlining signal optimization processes by providing split, cycle, offset optimization, and scheme generation based on real-time traffic data. Its expanded software functionalities enable green wave generation, special vehicle pre-emption, traffic signal performance evaluation, incident alert, and touchless pedestrian button activation. By fostering distributed computing among AI Boxes across different intersections, it autonomously generates region-based signal optimization solutions, achieving optimal control effects with minimal human intervention.
Key Features
- Integrated with Gigabit PoE switch support up to 6 standard or existing PoE cameras.
- AI & neural network video processing for high accuracy vehicle detection, road user classification & event identification.
- Control optimization including split, cycle, offset optimization and scheme generation.
- Group intelligence based on distributed computing.
- Open protocol to any type of legacy controllers.
AI Video Detection
Video Processing: Up to 8 * 1080P video stream @25fps
Detection Objectives
- Stop bar vehicle detection
- Road user identification
- Traffic event identification
- Traffic data collection
- HD video surveillance
Traffic Data Output
- Vehicle presence, traffic flow, occupancy, and road user identification.
- Road user identification
- Identification targets include truck, car, motorbike, bicycle, pedestrian, light rail.
- Event identification like fog, smoke, illegal reversing on expressway, road congestion, vehicle abnormal driving event and accident detection.
AI Signal Optimization
- Control Scheme Optimization: Split, cycle, offset optimization.
- Control Scheme Generation: Full scheme generation.
Expandable Modules
- Green wave generation: Coordinating the timing of traffic signals to allow a continuous flow of vehicles through a series of intersections.
- Special vehicle pre-emption: With the support of V2X module (both on sensor and box), vehicles with V2X OBU could get pre-emption signals.
- Traffic signal performance evaluation: Through the flow data collected by the sensors, the AI box can evaluate the efficiency of existing control scheme.
- Incident alert: Supported event identification include fog, fire, illegal reversing on expressway, road congestion, vehicle abnormal driving event and accident detection. Other events can be expanded per requirements (if the new event can be precisely defined.)
- Touchless pedestrian button: Use ClairEye to monitor the pending pedestrians in the certain area and the speed pedestrians walk cross the street, realize touchless pedestrian cross solutions.
Technical Documents
ClairBox-R Datasheet
PDF file, 252K
Download
TraffiClair Product Catalogue V1.4
PDF file, 29M
Download
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