Fast vehicle detection
Rapidly detect and classify vehicles from small, compressed or low-resolution images.
AutoRecon analyses vehicle images and video to identify make, model, generation, body features and visual matches — even from small, low-quality, low-light, partial exterior images and interior photographs.
AutoRecon turns imperfect vehicle media into searchable intelligence. It is designed for fast detection from small, compressed, low-light or partial vehicle images, as well as interior photographs where exterior details are unavailable.
Built for real-world imagery where the vehicle may be cropped, dark, compressed, partially visible or photographed from inside the cabin.
Rapidly detect and classify vehicles from small, compressed or low-resolution images.
Analyse cropped or incomplete views, including lights, grille, wheels, mirrors, body shape and rear details.
Support recognition from night-time, CCTV, garage, shadowed and poor-exposure imagery.
Identify vehicles using cabin photographs, including dashboard, steering wheel, infotainment, trim and seating cues.
Distinguish model generations, facelifts and visual variants where reference coverage is available.
Find similar vehicles, angles, features or reference images from a managed archive or case library.
Upload a vehicle image, video frame, batch folder or API-submitted media item.
Run recognition, segmentation, view classification and similarity search, even where images are cropped, dark or low quality.
Return ranked candidates, confidence indicators, supporting reference images and investigation notes.
Speak to Rootworks about AutoRecon, pilot access, API integrations or custom vehicle recognition workflows.