Automatic number plate mobile app
ANPR Mobile App
MareArts ANPR is a license plate recognition app for parking management, security checkpoints and vehicle tracking. Your phone scans plates on its own, even offline.
Your scans also show up in the ANPR Desktop app on your computer and on the web. Pro adds car details (brand & model, colour, country), and teams can buy one license per employee.
Automatic number plate SDK
ANPR SDK
Number plate recognition on your own computer: offline, 80+ countries.
Use MASS, the desktop app for Windows, macOS and Ubuntu, with no code: plate history, watchlist alerts and a REST API. Or build it into your own software with the Python SDK.
MareArts Road Objects Detector
Road Objects
MareArts Road Objects Detection is a high-performance, GPU-accelerated solution for real-time detection of road
objects. Supporting 8 classes including cars, trucks, buses, motorcycles, bicycles, pedestrians, traffic lights,
and stop signs, it offers exceptional accuracy with flexible deployment options across Windows, Linux, and macOS
platforms.
real-time multi-camera stitching app
MAST Stitching Studio
MAST Stitching Studio turns several cameras into one seamless panoramic view, live on your NVIDIA GPU. Calibrate automatically or with AI, then record or broadcast over RTSP, WebRTC and HLS. Windows and Linux, now in beta.
desktop apps, one subscription
Gadget
Every app included. One MareArts Gadget subscription opens every Gadget app: Markdown Studio (MARK), which reads and writes Markdown, with highlights, notes and search; Backup System (BACK), which copies your folders to another disk on a schedule, restores a past date, and opens from another PC; Video Editor (VIDE), which cuts video on a timeline and a free canvas; Image Viewer (MIV), which looks through a folder of pictures; and Remote Desktop (REMO), which shares this screen or views another computer on the same network. Linux, macOS and Windows.
Photograph by Ainur Iman — thank you.
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Complete OpenCV video tutorial series covering fundamentals, image processing, computer vision techniques, and real-world projects.
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