{"data":{"full_name":"astromanu007/PCB_Anomaly_Detection","name":"PCB_Anomaly_Detection","description":"This repository contains the implementation of an advanced machine learning system for detecting anomalies in PCB components. The system uses infrared imaging to identify and mark overheated or faulty components, ensuring efficient and accurate fault detection.","stars":5.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"industrial-defect-detection","last_pushed_at":"2024-11-02T09:37:35+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":4.0,"maturity_score":16.0,"community_score":0.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T06:43:40.378182+00:00"}}