Technical Specifications
Detailed information about TreasureBot's hardware, software, and installation requirements
TreasureBot Evolution
Our AI-powered smart bin is evolving through iterative development, with each version bringing enhanced capabilities and features.
TreasureBot V1.0
- 4-category waste sorting (Bio, Plastic, Paper, Other)
- Mobile platform with wheels
- Integrated sorting bins
- Interactive display panel
- Basic AI classification (90% accuracy)
- Current development prototype
UPCOMING
TreasureBot V1.1
- 6-category waste sorting
- 94% AI recognition accuracy
- Advanced robotic sorting arms
- Green Points app integration
- Enhanced user interaction panel
- Planned for pilot deployment
TreasureBot Enterprise
- 8+ waste categories
- 97%+ AI accuracy
- Autonomous navigation
- Solar power with biogas compatibility
- Custom integrations with waste systems
- White-labeled rewards program
Hardware Specifications
TreasureBot integrates advanced robotics, sensors, and sustainable materials to create an efficient and environmentally-friendly waste management system.
| Feature | Description |
|---|---|
| Robotic Sorting Mechanism | Modular robotic arms with soft grippers for glass and suction cups for flat items |
| Sorting Speed | Up to 100 items per minute in high-traffic areas |
| Autonomous Navigation | LiDAR and SLAM mapping for self-driving capabilities to disposal centers |
| Power System | Solar-powered with 12-hour battery life; future biogas compatibility |
| Waste Categories | 4-6 categories in current models; 8+ in Enterprise version |
| Hygiene System | Self-cleaning with biodegradable sanitizers to prevent odor and contamination |
| Sensors | IoT sensors for fill levels, temperature, and contamination monitoring |
| User Interface | Touch-screen display with real-time feedback and instructions |
| Durability | 90% reduction in breakage risk for fragile items compared to industrial shredders |
| Connectivity | Wi-Fi, Bluetooth, and cellular options for real-time data transmission |
AI & Software
TreasureBot's cutting-edge AI system delivers industry-leading waste recognition accuracy with continuous improvement through federated learning.
| Feature | Description |
|---|---|
| AI Technology | Convolutional neural networks (CNNs) trained on 50,000+ waste images |
| Material Recognition | 14+ waste categories in current model; expanding to 20+ categories |
| Recognition Accuracy | 94% current accuracy; 97%+ target for future versions |
| Contamination Detection | Spectral analysis to identify food residue, chemical traces, and non-recyclables |
| Learning System | Federated learning adapting to regional waste patterns while preserving privacy |
| Green Points App | Gamified rewards system with blockchain-secured point tracking |
| Data Security | GDPR compliant with decentralized data processing |
| Dashboard | Real-time monitoring of fill levels, contamination, and recycling metrics |
Installation Requirements
TreasureBot is designed for easy installation in various environments with minimal requirements.
| Requirement | Description |
|---|---|
| Space | 100 cm × 100 cm floor space, clearance of 30cm on sides |
| Power | Standard power outlet within 2m |
| Internet | Wi-Fi or Ethernet connection (4G/5G optional) |
| Environmental | Operating temperature: -10°C to 50°C |
| Ventilation | No special requirements |
| Floor | Level surface, indoor or sheltered outdoor locations |
| Accessibility | ADA compliant design with accessible height controls |
| Setup Time | 1-2 hours for standard installation |
Certifications & Standards
TreasureBot complies with international safety, environmental, and accessibility standards.
| Certification | Description |
|---|---|
| Safety | CE, UL, CSA |
| Environmental | EU Ecolabel, Energy Star, RoHS |
| Data Protection | GDPR compliant, ISO 27001 |
| Accessibility | ADA, EN 301 549 |
| Quality Management | ISO 9001:2015 |
| Environmental Management | ISO 14001:2015 |
Environmental Impact & Performance Metrics
TreasureBot delivers measurable benefits for waste management efficiency, sustainability, and circular economy development.
| Metric | Performance |
|---|---|
| Recycling Improvement | Boosts recycling rates by up to 60% compared to traditional methods |
| Cost Reduction | Reduces waste management costs by 25-30% for cities and businesses |
| Landfill Diversion | Decreases landfill reliance by 30% in pilot regions |
| Emissions Reduction | Equivalent to removing 3 million cars' worth of emissions annually in target regions |
| Collection Efficiency | Autonomous navigation reduces collection costs by 30% |
| User Engagement | Increases recycling participation by 70% through the Green Points reward system |
| Material Recovery | 95% of processed waste is repurposed, compared to 35% in traditional systems |
| SDG Alignment | Directly contributes to UN Sustainable Development Goals 11, 12, and 13 |
Development Roadmap
TreasureBot's evolution is planned in phases to ensure continuous improvement and market adaptation.
| Phase | Key Milestones |
|---|---|
| Current (2025) | Expanding AI to recognize over 20 waste categories with 94%+ accuracy |
| Year 1 | Functional prototype with robotic sorting and IoT sensors; MVP of Green Points App |
| Year 2 | Pilot deployments in Berlin; manufacturing process refinement; AI accuracy to 97%+ |
| Year 3 | Commercial rollout; mass production; expansion to major European cities |
| Long-term Vision | Global presence by 2030; waste-to-energy initiative; circular economy integration |
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