COMPUTER-IMPLEMENTED METHOD FOR DETECTING THE PRESENCE OF PARTICLES AND DETERMINING THE NUMBER OF PARTICLES IN A SOURCE IMAGE
Patent Information
- Application Number
- DE602024005405
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2023-03-31
- Filing Date
- 2024-03-27
- Publication Date
- 2026-06-10
- Estimated Expiration
- 2044-03-27
AI Technical Summary
Plastic pellets, or nurdles, frequently spill during transportation, storage, and handling, leading to environmental contamination and harm to wildlife, with inadequate detection and prevention methods causing significant ecological damage and high cleanup costs.
A computer-implemented method using artificial intelligence algorithms to detect and count plastic pellets in digital images, employing multiple AI models trained on specific fluid types to enhance accuracy and reduce false positives, allowing real-time monitoring and scalable detection across large areas.
The method effectively reduces environmental impact by promptly identifying pellet spills, enabling proactive measures and minimizing uncontrolled dumping, with scalable and cost-effective implementation suitable for industrial facilities.