Product Introduction
- Overview: Argus AI is a computer vision-powered traffic incident detection API that analyzes live traffic camera feeds to identify accidents and disruptions.
- Value: Delivers crash/slowdown alerts 5-15 minutes faster than crowd-sourced platforms, enabling proactive rerouting for fleets and navigation services.
Main Features
- Sub-10 Second Detection: Proprietary CV algorithms process DOT camera feeds to identify 9 incident types (crashes, stalls, construction) in under 10 seconds.
- Universal Traffic Ontology: Normalizes disparate data sources (TomTom, HERE, Waze, 511) into unified schema for seamless routing engine integration.
- Zero-Integration Fleet Alerts: In-cab notifications via Platform Science/Geotab with no telematics integration required.
Problems Solved
- Challenge: Crowd-sourced platforms (Waze/Google Maps) suffer 5-15 minute latency in incident reporting.
- Audience: Fleet operators, navigation app developers, and rideshare platforms needing real-time road intelligence.
- Scenario: Rerouting logistics trucks around crashes before congestion forms, saving fuel and preventing secondary accidents.
Unique Advantages
- Vs Competitors: Detects root-cause incidents (crashes) rather than symptoms (congestion), with 6x faster alerts than INRIX/TomTom per peer-reviewed studies.
- Innovation: Patented ontology layer enables vendor-agnostic data ingestion while maintaining sub-10s detection latency.
Frequently Asked Questions (FAQ)
- How does Argus AI achieve faster detection than Waze? Argus AI analyzes traffic camera feeds via computer vision, while Waze relies on user-generated reports causing 10+ minute delays.
- What telematics systems support your fleet alerts? Direct integration with Platform Science and Geotab marketplaces requires no additional hardware or API development.
- How many incident types can your API detect? The API identifies 9 critical incident categories including crashes, disabled vehicles, construction zones, and emergency activity.
