Identifying vehicle attributes with computer vision
Often used in combination with automatic number plate recognition, AI-enabled vehicle recognition empowers you to identify other defining attributes of vehicles. Desired capabilities and associated machine learning models include recognizing and categorizing vehicles by type, make (sometimes referred to as ‘car cresting’) and color.
Popular use cases include:
Transit authorities and construction companies
Analyze the break-down of traffic volume by vehicle type to assess stress factors and plans for new and existing road projects.
Shopping centers and car park management
Assess the types of vehicles that utilize parking facilities to enable real-time billing by vehicle size, inform future upgrade decisions and compare vehicles types against shopping or demographic data to reveal valuable correlations.
Security teams and law enforcement
Pinpoint and track specific vehicles in instances where the number plate is obscured.
*Disclaimer: Outcomes described and depicted are illustrative in nature. Learn more.