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Shelf IntelligenceAI

An AI-powered perception agent designed for ADAS and autonomous vehicle development. The system detects road objects, lane markings, traffic signals, pedestrians, and environmental conditions in real time using multi-sensor fusion. It enables safe driving decisions by providing accurate scene understanding for autonomous and assisted driving systems.

Sensor Fusion Agent

Combines camera, LiDAR, radar, and GPS data for
unified environmental perception.

Object Detection Agent

Detects vehicles, pedestrians, cyclists, traffic signs,
and obstacles.

Lane Detection Agent

Identifies lane markings and road boundaries.
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Traffic Signal Recognition Agent

Detects traffic lights, road signs, and speed limits.

Path Planning Support Agent

Provides perception inputs for ADAS and autonomous driving systems.

80–90% Reduction

in manual equipment data extraction effort

4X Faster

asset digitization and master record creation process

90%+ Accuracy

in extracting equipment metadata from nameplates and technical documents

60% Faster

Achieves 96% invoice processing accuracy by eliminating manual data entry errors.

Lean AP Operations

Reduces AP team workload from 200+ staff to approximately 50, enabling teams to focus on higher-value activities.

Fewer Financial Incidents

Decreases annual invoice-related incidents from 10,000+ to approximately 400, significantly reducing financial leakage and compliance risks.

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