AI Graffiti Detection Cameras
Omnisight's FusionSensor offers an intelligent graffiti abatement and prevention solution, using radar, video, and artificial intelligence to detect suspicious behavior and alert teams in real time. Cities can now shift from reactive cleaning to preventive action.
Vandalism Costs
Graffiti continues to pose a costly challenge for cities, transit systems, and businesses. It diminishes property values, affects community perception, and leads to expensive cleanup cycles, and traditional security systems often fall short in preventing graffiti before it appears.
Every tag means another crew, another closure, another repaint. The longer graffiti stays up, the more it invites copycat tagging and vandalism, turning one incident into a recurring line item.
Visible graffiti diminishes property values and shapes how safe and well-kept an area feels to residents, riders, and visitors, affecting neighborhoods long after the paint is covered.
Cameras record vandalism for review after the fact, and patrols can't be everywhere. Traditional security systems detect graffiti only after it appears, when the damage is already done.
Without targeted alerts, agencies burn budget on routine patrols and recurring cleanup at the same hotspots, from underpasses and rail yards to building walls and transit shelters, without stopping the next tag.
Proven DOT Deployment
A state DOT needed to stop graffiti on a busy highway bridge overpass where the area was poorly lit and cameras alone couldn't reliably see who was entering the structure. Omnisight deployed FusionSensor to fuse HD3D radar with AI vision and trigger real-time alerts to authorities the moment someone entered the zone, stopping graffiti before paint hit the surface.
The agency wasn't only worried about the cost of covering up tags. The bigger concern was crew safety. Sending maintenance teams out onto a live, busy highway to repaint the overpass put workers in real danger. Preventing the graffiti in the first place keeps crews off the road and keeps the structure clean.
Request a DemoCamera-only systems struggled at this overpass because of poor lighting under and around the bridge. After dark, cameras either missed people entirely or flagged false positives on shadows, animals, and passing headlights. Alarms got muted. Tagging continued.
FusionSensor only fires when AI vision identifies a person in the zone and HD3D radar confirms they're physically present, independent of lighting. Radar sees through darkness and weather; vision adds object-class confidence. Together they trigger real-time alerts to law enforcement the moment a tagger enters the scene, before any paint comes out.
AI Graffiti Detection
The FusionSensor combines HD3D radar and HD video to analyze behavior patterns and detect potential graffiti activity before it becomes a problem, monitoring hotspots such as underpasses, rail yards, building walls, and transit shelters.
Trained to recognize tagging behavior in both day and night conditions. The system identifies wall-facing movement and loitering behavior, sending immediate alerts that allow for quick intervention.
Delivers alerts without relying on a cloud connection. FusionSensor processes everything on the unit itself, so detections fire instantly even when network connectivity drops out.
Triggers sirens, voice recordings, lights, or security alerts as deterrents, and notifies teams or law enforcement in real time so intervention happens before paint hits the surface.
Monitor multiple high-risk zones with a single unit. One sensor covers underpasses, walls, transit platforms, and rail yards, replacing scattered cameras with one fused detector.
Vandalism Prevention Data
Graffiti abatement fits into a broader smart city framework, and the same FusionSensor infrastructure can be used for vandalism monitoring, crowd control, traffic management, and more.
The Problem
Cleanup-after-the-fact never breaks the cycle. The longer graffiti stays up, the more it invites copycat tagging. Speed and deterrence are key.
The Insight
FusionSensor's radar-video fusion and AI software detect graffiti-related activity instantly, from tagging at night to suspicious loitering during the day, so you're alerted before graffiti is applied.
The Shift
Eliminate unnecessary patrols and reduce recurring cleanup costs. With targeted alerts, teams act only when and where needed, saving time and budget.
The Result
Prompt graffiti removal and prevention maintain the visual appeal of neighborhoods, reduce vandalism recurrence, and improve how safe and well-kept an area feels to residents and visitors.
Schedule a meeting with one of our specialists to see how FusionSensor detects and deters vandalism in real time, and integrates with NEMA TS2 controllers, existing municipal systems, and the rest of your smart city infrastructure.
Graffiti abatement is the act of quickly detecting, removing, and ideally preventing graffiti from taking place. The longer graffiti stays up, the more it invites copycat tagging and vandalism. Speed and deterrence are key, and Omnisight's approach shifts cities from reactive cleaning to preventive action.
FusionSensor monitors hotspots such as underpasses, rail yards, building walls, and transit shelters. Its radar-video fusion and AI software identify wall-facing movement and loitering behavior, sending immediate alerts that allow for quick intervention before paint hits the surface.
Yes. The AI is trained to recognize tagging behavior in both day and night conditions, and HD3D radar confirms physical presence independent of lighting, seeing through darkness, fog, and rain where camera-only systems miss people or flag false positives on shadows and headlights.
The system can trigger sirens, voice recordings, and lights as on-spot deterrents, and simultaneously send real-time security alerts to your team or law enforcement. Because processing happens on the device edge, alerts fire instantly without relying on a cloud connection.
Yes. FusionSensor supports NEMA TS2 controllers to link detection with existing municipal systems, ensures compatibility with a wide range of smart city devices, and allows backward compatibility with older control cabinets and NEMA TS1 setups.
One FusionSensor monitors multiple high-risk zones at once, from underpasses and walls to transit platforms and rail yards, with a 120 degree field of view, replacing scattered single-purpose cameras with one fused detector. The same unit can also serve vandalism monitoring, crowd control, and traffic management within a broader smart city framework.
Sensors and AI that recognize tagging activity as it starts, rather than recording it for review after the damage is done. The system watches known hotspots and alerts teams in real time so intervention happens before paint hits the surface.
By detecting the behavior that precedes it: someone entering a protected zone, loitering, or facing a wall at an unusual hour. FusionSensor confirms a person is physically present with radar, classifies the behavior with AI vision, and alerts immediately.
The visible cost is the cleanup cycle: crews, closures, and repainting the same hotspots repeatedly. The larger costs are crew safety when the surface is on a live highway, depressed property values, and the copycat tagging that every uncovered tag invites.
Deterrence works when it happens in the moment: lights, sirens, or voice warnings triggered while the person is still deciding, backed by a real-time alert to responders. After-the-fact camera footage rarely leads to consequences, which is why recording alone does not stop tagging.
AI trained to distinguish tagging behavior from normal foot traffic near protected surfaces, day or night. It cuts false alarms so responders trust the alerts, which is the failure point of motion-only systems.