Tested
Components
Recovered
by AI
The eCycle Micro-Factory combines computer vision and precision robotics to harvest high-value chips from e-waste. Sustainable hardware for your next breakthrough.
Circular Economy
Stopping e-waste from entering landfills by giving functional chips a second life in new projects.
AI Recovered
Our compact factory uses computer vision to inspect and precision robotics to harvest parts safely.
Tested & Guaranteed
Every component is electrically tested before listing. Quality benchmarks you can rely on.
Component Catalog
Genuine recycled parts. Tested. Stock varies daily.
No components found matching your criteria.
Inside The Micro-Factory
The eCycle Micro-Factory is a revolutionary, containerized system designed to tackle the global e-waste crisis. Instead of shredding circuit boards for raw metals—a process that destroys high-value engineered components—our system carefully disassembles them.
AI Visual Scanning & Desoldering Process
How it works:
- Scan: Computer vision identifies valuable chips on scrap PCBs.
- Desolder: Precision localized heating removes the part without thermal damage.
- Clean: Pins are cleaned and re-tinned automatically.
- Test: The component is placed in a test jig to verify voltage, capacitance, or logic functions.
By buying from us, you support a future where electronics are designed for longevity and reuse, not obsolescence.
Technical Specifications
Hardware Components
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Vision System High-resolution camera (e.g., 12MP USB camera) with LED lighting for scanning PCBs up to 30cm x 30cm.
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Heating Module Infrared or hot-air station (controlled to 150-250°C) to melt solder without damaging parts.
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Robotic Arm Affordable 4-6 DOF arm (e.g., based on Arduino or Raspberry Pi) with vacuum/suction grippers for gentle removal.
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Sorting System Conveyor or vibrating trays with sensors (e.g., weight, size) to categorize parts into 10-20 bins.
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Testing Station Multimeter integration for basic checks (continuity, voltage); optional add-ons for JTAG or functional testing.
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Enclosure Ventilated safety case with fume extraction to handle minor emissions.
Software Stack
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AI Model Pre-trained on datasets like OpenCV for component detection; user-trainable for custom PCBs.
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Control Software Python-based GUI on a Raspberry Pi or mini-PC, handling workflow from scan to marketplace upload.
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Marketplace Backend Web app (e.g., using Flask/Django) with API for listings, payments, and shipping integration.
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Data Security Encrypted uploads; optional NFT-style certification for part authenticity.
> AI CONFIDENCE: 98.4%
Operational Workflow
Input
User loads PCB into the machine fixture.
Scanning
AI identifies components (e.g., ICs, capacitors) and maps their positions via coordinate system.
Depopulation
Targeted heating loosens solder; robotic arm removes parts sequentially without thermal stress.
Sorting
Parts drop into categorized trays (bins 1-20) based on real-time AI classification.
Testing
Quick electrical tests performed; failed parts routed to metal recovery bin, valid parts certified.
Cataloging & Upload
Photos, specs, and test results auto-generated; QR label printed. Parts listed to marketplace with dynamic pricing (50-70% off MSRP).
Output
Bare PCB ejected for optional copper/gold extraction.
Virtual Recovery Lab
Select a donor PCB below to initialize the AI recovery sequence.
Gaming GPU
High-yield gold fingers, MLCC capacitors, and massive silicon die.
Enterprise Server
Rare earth magnets, high-grade tantalum caps, and Xeon-class geometry.
Smartphone Logic
Dense precious metals in a tiny footprint. Sensors and SoC recovery.
Recovery Successful!
Contact Us
Get in Touch
Have bulk e-waste to donate or need specific parts?
- hello@ecyclemicrofactory.com
- Tech Hub, Eco District, BD
- +1 (555) 012-3456