AI Visual Pollution
AI-powered environmental monitoring that detects visual pollution from images automatically.
Keep your Site Clean and Safe.
Upload drone images and let AI detect environmental pollution — waste accumulation, broken civil assets, stray animals, and construction waste. AI Visual Pollution frees manual site visit checks and allows you to optimize your resources based on real data, not randomized outsourcing.
AI Pollution Detection from Images
Multi-Category Violation Detection
Geo-Referenced Violation Mapping
Comment, Resolve, and Issue Detections
Trend Analytics & Dashboard
AI Detection Engine
Upload drone images and the AI automatically identify pollution types — waste, broken civil assets, stray animals, and construction waste — with confidence scores and bounding boxes.
Multi-Category Detection
The system recognizes multiple pollution categories simultaneously, classifying each detection by type, severity, and geolocation.
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Geo-Referenced Violation Mapping
Detections are mapped to their spatial location on the project GIS, enabling zone-level environmental monitoring and hotspot identification.
Compliance Trend Analytics
Track pollution detection trends over time — frequency, types, zones, and resolution rates — to demonstrate environmental due diligence to regulators.
AI Visual Pollution is most useful for:
Environmental Officers
Automated Compliance Monitoring
Replace manual environmental inspections with AI-powered image analysis that monitors site conditions continuously and flags violations before they escalate.
Municipality Supervisors
Proactive Site Management
Get early warning of environmental issues that could trigger regulatory stop-work orders, allowing corrective action before inspectors arrive.
HSE Directors
Portfolio Environmental Oversight
Monitor environmental compliance across all project sites from a single dashboard, with trend data for management reporting and regulatory submissions.
"We used to deploy 14 drivers across 30 locations for site visits and manual identification of visual pollution. Now we deploy 1 pilot across 30 locations and know exactly where to focus our efforts."
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Frequently asked questions
Yes. All geo-tagged incidents are displayed on the GIS map, enabling spatial analysis of incident patterns and high-risk zone identification.
GIS 3D supports IFC and RVT for BIM models, LAS/LAZ for point clouds, and standard image formats for drone orthomosaics and aerial imagery.
Yes. GIS 2D and GIS 3D share the same geospatial foundation. You can switch between 2D planning views and 3D visualization views seamlessly.
When an incident is logged, the user selects the appropriate SOP-based workflow based on incident type and severity, guiding investigators through each required step.
