Monitoring Objects Neural Detection
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MOND Vision — Object Detection Platform. All in One.
MOND is a full-cycle computer vision deployment tool that lets any user — without Python or Machine Learning knowledge — build and run their own computer vision systems on their own data, fully offline on Windows.
Features
The platform combines image annotation, model training, inference, analytics and industrial integrations — all in one ready-to-use product with simple out-of-the-box installation on Windows.
Data Collection & Annotation
Import images and camera streams, convenient GUI annotation tool, ready-made datasets.
One-Click Training
Click "Train" — MOND prepares the data and launches training offline automatically.
Deploy & Scale
Run the model on any Windows PC or local network — client/server architecture.
Analytics & Integrations
Save statistics to Excel/SQL, filters, rules, ModBus TCP for SCADA and PLC.
Security & DMZ
Fully autonomous operation with no data sent to the cloud — ideal for enterprises with isolated industrial network segments and DMZ zones.
Product Overview MOND
Data Annotation
Model Training
Inference
Analytics (in development)
How It Works
- Import — webcam, IP camera, video file, screenshots, RTSP stream or image files.
- Annotate — create classes and label objects with your mouse.
- Train — click "Train" and get a model with no environment setup required.
- Deploy — run MOND Client on Windows and get real-time inference in the stream.
- Analyze — MOND Analyzer collects events, exports to Excel/SQL and controls via ModBus.
Why Choose MOND
- No ML team or DevOps required
- Full cycle, fully offline
- Integration with industrial equipment
- Fast deployment and scaling
Get Acquainted with the Tool
We are currently at the prototyping stage. Soon you will be able to join our community of like-minded people on https://www.patreon.com/ (support our team) and get early access to beta versions of the tool.