{"id":21015,"name":"Lithium Battery Fire Detection System","purpose":"A real-time monitoring system utilizing sensor data and AI to detect and predict potential lithium battery fires in recycling facilities, reducing costs and improving safety. It would analyze temperature, smoke, and gas readings to identify anomalies and alert personnel.","profitable":1,"date_generated":"Sunday August 2026 04:00","reference":"battery-fire-detection-system","technology_advise":["Python","Medium","PostgreSQL","Easy"],"development_time_estimation_mvp_in_hours":160,"grade":7.8,"category":"iot","view_count":1,"similar_ideas":[{"id":13280,"name":"Li-Batt Monitor","grade":8.1,"category":"iot"},{"id":13739,"name":"Lithium Trace Analytics","grade":8.2,"category":"data"},{"id":2384,"name":"Lithium Asset Monitoring & Prediction","grade":7.2,"category":null},{"id":8536,"name":"Lithium Atmospheric Monitor (LAM)","grade":7.5,"category":"data"},{"id":1558,"name":"Predictive E-Bike Safety System","grade":6.5,"category":null}],"source_headline":"UK Recycling Centres Costing £1bn Due to Battery Fires"}