Waste & Recycling Detection
Automatically identify biodegradable items, cardboard, glass, metal, paper, and plastic across JPG, PNG, WEBP, and BMP images.
Detectnix WasteVision
Detect recyclable materials and waste categories—including biodegradable items, cardboard, glass, metal, paper, and plastic—locally using private on-device AI models. No cloud uploads. No external processing. Designed for waste management facilities, recycling auditors, and privacy-conscious industrial environments.
Automatically identify biodegradable items, cardboard, glass, metal, paper, and plastic across JPG, PNG, WEBP, and BMP images.
Detect waste materials and sorting categories using local vision models.
Files remain on your device. No cloud upload or third-party image processing required.
Automatically uses your GPU for fast high-volume inspection on supported hardware.
Watch the video below
Software Screenshots - Select A Folder
Software Screenshots - Set Options
Software Screenshots - Scanning Begins
Software Screenshots - Scan Activity
Software Screenshots - Image Gallery
Software Screenshots - Export Results
Available Editions
| Feature | Free | Retail | Enterprise |
|---|---|---|---|
| Scan selected folders | ✓ | ✓ | ✓ |
| Recursive subfolder scanning | — | ✓ | ✓ |
| Local AI classification | ✓ | ✓ | ✓ |
| GPU acceleration | ✓ | ✓ | ✓ |
| REST API integration | — | — | ✓ |
| Enterprise automation support | — | — | ✓ |
| Price |
$0
Free |
$49 AUD
One-time purchase |
From $299 AUD / year
Business & API licensing |
As all computers are different, we recommend downloading and using the free trial version to determine your computer's suitability. If the free trial version works correctly on your system, then the retail versions will work as well.
No. Detectnix WasteVision performs all image analysis locally on your computer using on-device AI models. Your inspection photos remain on your system and are never uploaded to external servers or cloud services.
The model is trained to identify biodegradable items, cardboard, glass, metal, paper, and plastic in inspection images.
Detectnix WasteVision currently supports JPG, JPEG, PNG, BMP, and WEBP image formats.
Yes. Detectnix WasteVision supports optional NVIDIA CUDA and DirectML acceleration for compatible GPUs, helping improve high-volume scanning performance on supported systems.
Yes. The Retail and Enterprise editions support recursive folder scanning, allowing large photo directories and subfolders to be processed automatically.
Yes. Findings can be exported to CSV files and dedicated output folders for material reports, waste audits, or integration into internal reporting workflows.
Detectnix WasteVision is designed for Windows 10 and Windows 11 64-bit systems.
System Requirements
Performance depends on image count, image resolution, storage speed, GPU support, and session configuration.