Scylla Object Detection and Tracking
Prevent incidents before they happen with AI powered detection of abandoned objects, exit obstructions, debris, and hazards.
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Why security and facility teams trust Scylla for object detection
Scylla's AI-powered object detection and tracking monitors your facility in real time, identifying abandoned objects, blocked exits, debris, and operational hazards the moment they appear, across every connected camera.
How it works
Intelligent object detection for proactive response
Scylla's AI continuously monitors your environment for abandoned objects, exit obstructions, debris accumulation, and operational hazards, delivering verified, real-time alerts so your security and facilities teams stay ahead of every developing situation.
Abandoned Object Detection
Detect bags, packages, equipment, and other objects left unattended in monitored zones with configurable dwell-time thresholds that distinguish between momentarily placed items and genuine abandoned object concerns. Critical for transit hubs, airports, government buildings, stadiums, and any high-traffic public environment where an unattended bag represents a potential security threat.
Exit Obstruction Detection
Identify when emergency exits, fire doors, or evacuation routes become blocked by objects, equipment, or debris, generating an immediate alert before the obstruction creates a compliance violation or life-safety risk. Particularly valuable in retail, warehousing, manufacturing, and healthcare environments where exit compliance is both a regulatory requirement and a genuine safety imperative.
Trash Accumulation Detection
Monitor for accumulating waste, litter, or debris in designated areas, triggering alerts when accumulation exceeds defined thresholds and enabling facilities teams to respond before conditions deteriorate or create health, safety, or reputational risks.
Loading docks debris
Loading docks are among the most hazardous areas in warehouses, distribution centers, and manufacturing facilities. By automatically detecting debris, pallets, packaging waste, and other obstacles, Scylla object detection AI helps reduce related hazards before they cause injuries, downtime, or operational disruptions. Roughly 25% of warehouse injuries occur at loading docks, making continuous monitoring critical for safety and efficiency.
Public littering
Public littering impacts community safety, cleanliness, and quality of life while increasing cleanup costs for municipalities and property owners. Scylla automatically detects littering incidents in real time, enabling faster response, stronger policy enforcement, and more effective environmental management. Despite recent improvements, an estimated 35 billion pieces of litter remain scattered across the United States.
Airport FOD
Even small objects on airport surfaces can damage aircraft, delay operations, and create serious safety risks. Scylla AI detects Foreign Object Debris (FOD) on runways, taxiways, and aprons, helping airports identify hazards before they impact aircraft operations. The FAA recognizes FOD as a continuing safety concern, while industry studies estimate the global cost of FOD-related damage can reach up to $22.7 billion annually.