Identify the manufacturer and model of any vehicle from a camera frame. Send an image, get back the make and model in a clean JSON, XML or text response, powered by a high-accuracy deep-learning engine, via cloud API or on-device edge SDK.
Your camera supplies the image; our engine handles the rest. Deep-learning models read each vehicle's visual signature and match it against a database of 200+ makes and 1800+ models, so integration stays simple while accuracy stays high.
CCTV, IP or ANPR cameras capture images or clips of vehicles and send the frames straight to the recognition engine.
AI models separate the vehicle from its background, recognising different vehicle types within the scene.
Deep-learning models scan unique visual features, body design, shape, headlights, taillights and grille.
The engine compares the extracted features against an extensive database of 200+ makes and 1800+ models.
The vehicle is classified by manufacturer and model line, optionally alongside its number plate from the LPR engine.
Structured vehicle details are returned in JSON, XML or text format, ready to drop into your application.
A RESTful API and sample code in Python, JavaScript, C# and C++ mean a working integration in hours, not weeks. Use your personal API key to send images to our servers and get make-and-model results in real time, no DLLs, no local SDK, no dedicated board.
A clean HTTP interface with samples and integration guides in popular languages for fast, predictable onboarding.
Licensing is handled in software, no hardware dongle and no dedicated board to install.
An extensive, regularly maintained database classifies vehicles across more than 200 brands and 1800 distinct models.
Works with Basler, Daheng, FLIR and IDS Imaging industrial cameras, plus network cameras via RTSP.
A high-accuracy deep-learning engine combines wide vehicle coverage with real-time performance, reliable even in fast-moving traffic and low-light conditions, wherever and however you run it.
Instant, reliable recognition that holds up in harsh environments, fast-moving traffic and poorly illuminated scenes.
Recognises over 200 vehicle brands and 1800 models, with structured make-and-model output on every read.
Run recognition on our servers via the RESTful API, or process images on a locally connected device with the edge version.
Runs on Windows 10/11 across Intel CPUs, NVIDIA GPUs and Hailo-8, with broad industrial and IP-camera support.
One engine, many deployments. Drop it into the systems you already build to add reliable, real-time vehicle make-and-model intelligence.
Automate vehicle recognition at the entrance, enhancing security and operational efficiency without manual checks.
Rapidly identify vehicles in incidents, detect stolen or flagged vehicles and support distracted-driving and seat-belt enforcement.
Feed intelligent, area-wide traffic management with reliable, real-time vehicle make-and-model data.
Streamline toll processing and fleet operations by automatically detecting each vehicle's make and model.
Combine make-and-model with our ANPR / LPR engine for full vehicle identity, plate, make and model, in one workflow.
Upload an image and try recognition instantly on our online platform, then integrate the API into your own application.
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