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Iterating Large Models
Expand Recognition Boundaries
Cloud Algorithm Engine・Safe Driving Agent・Operation Assistant Agent
The three major matrices build full-loop AI capabilities from perception to decision-making.
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technicalEngine
Server-side AI Engine
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Pure cloud-deployed visual AI algorithm system, delivering full-dimensional perception of people, vehicles and devices, supporting on-demand customization to expand recognition categories.
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Driver Behavior Recognition
Accurately identify risky behaviors including fatigue driving, smoking, calling, phone use, distraction and off-post; support driver face recognition and person-post matching verification.
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Occupant & Scene Perception
Supports passenger counting and leftover object detection in the cabin, adaptable to diverse scenarios such as ride-hailing vehicles, muck trucks and school buses.
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Device Status Self-Diagnosis
Automatically detect camera anomalies including black screen, occlusion, blurriness and image offset.
Algorithm Customization & Scaling Capability
Supports adding custom recognition categories and detection rules based on business scenarios. End-to-end delivery from requirement sorting, sample training to deployment, quickly adapting to personalized industry scenarios.
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AI Safe Driving Agent
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Shift from passive alerting to active prevention, building an edge-cloud collaborative real-time risk detection system.
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AI Real-Time Risk Analysis
Aggregates multi-dimensional data of people, vehicles and roads in real time, grades and analyzes risk events. It identifies high-frequency rules and potential hazards, accurately locates high-risk subjects, and pushes early warnings instantly.
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AI False Alarm Analysis
Performs secondary AI verification on original alarms to intelligently filter invalid false alarms. It supports multi-dimensional statistics and automatic processing with custom rules, reducing manual inspection pressure and restoring real risks accurately.
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Intelligent Report Generation
Automatically generates multi-cycle safety analysis reports, builds a people-vehicle safety portrait system, quantifies safety operation levels, and provides data support for management decision-making and strategy optimization.
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technicalEngine
BabelStar AI Core Metrics
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Core Performance Metrics, Proof of Technical Strength
Driver Face Accuracy
≥98%
Passenger Count Accuracy
≥97%
Risk Identification Accuracy
≥96%
Equipment O&M Efficiency Gain
80%
Server Diagnosis Accuracy
90%
Active Safety False Alarm Reduction
60%
+
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AI Operation Assistant Agent
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Combines conversational interaction and automated task capabilities, covering frequent operation scenarios. 7×24-hour on-duty to boost management efficiency.
Intelligent Q&A
7×24 online response, auto-resolving inquiries about system operation, business rules and troubleshooting to ease manual workload.
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Session Cmd Control
Supports voice command delivery to devices and interface activation; direct jump to relevant platform pages from conversations.
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AI Trajectory Analysis
After vehicle trajectory query, AI auto-generates reports summarizing routes, stops and driving status for clear key information.
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WxWork Robot
Push alerts, reports and expiry reminders. Platform notifications sync to WeCom, allowing managers to receive alerts, view reports and track tasks efficiently.
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Full-scenario Operational Efficiency Upgrade
Deeply adapted to real fleet workflows, AI capabilities run through high-frequency scenarios including safety alerts, equipment O&M, vehicle scheduling and daily management. Intelligent dialogues replace cumbersome backend operations to deliver simpler, more efficient and smarter operation management.