Automatically classify motorcycles, bicycles, cars, trucks, buses, and e-scooters using computer vision on existing CCTV cameras.
Vehicle classification analytics uses AI computer vision to automatically identify and categorize different types of vehicles from video footage. The technology detects and classifies motorcycles, bicycles, cars, trucks, buses, e-scooters, and other vehicle types in real-time.
Ghost Analytics performs vehicle classification by analyzing video streams from existing CCTV cameras. The system uses computer vision algorithms to detect vehicles, extract their visual features, and classify them into specific categories automatically.
This automated classification enables transport authorities and councils to understand traffic composition, analyze vehicle mix, and plan infrastructure based on actual vehicle type data rather than manual surveys.
Ghost Analytics classifies a comprehensive range of vehicle types:
Motorcycles
Bicycles
Cars and sedans
SUVs and 4WDs
Light commercial vehicles
Trucks and heavy vehicles
Buses
E-scooters
E-bikes
Emergency vehicles
Classify vehicles in real-time as they pass through camera views. Immediate vehicle type identification.
Analyze traffic composition by vehicle type. Understand the mix of vehicles using your roads.
Classify vehicles across multiple camera locations simultaneously for network-wide analysis.
Track changes in vehicle composition over time. Identify trends in vehicle type usage.
Vehicle classification analytics is used by transport authorities, councils, and smart cities for:
Traffic composition studies for infrastructure planning
Heavy vehicle monitoring and compliance
Bicycle and e-scooter usage analysis
Motorcycle traffic pattern analysis
Public transport usage monitoring
Vehicle mix analysis for road design
Parking demand forecasting by vehicle type
Traffic modeling and simulation inputs
Book a demo to see how Ghost Analytics classifies motorcycles, bicycles, cars, trucks, and other vehicle types automatically.