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Every year, tragic incidents occur where children suffer from heatstroke or suffocation after being accidentally left in locked cars. To address this critical issue, we propose CarFather, an advanced child safety system designed to protect children in such scenarios.
CarFather utilizes cutting-edge technology, combining a camera with TensorFlow for accurate child detection inside the vehicle. It monitors the car's interior environment in real-time, assessing critical factors like temperature and CO2 levels. When the system detects the presence of a child under unsafe conditions, it automatically unwinds the car windows, ensuring ventilation and reducing the risk of suffocation or heatstroke.
Key features of CarFather include:
1. AI-Powered Detection: A camera integrated with TensorFlow for real-time child detection.
2. Environmental Monitoring: Sensors for temperature and CO2 levels to evaluate the safety of the car's interior.
3. Automated Response: Relay-controlled mechanisms to unwind car windows and ensure ventilation.
4. Alert System: GSM module for sending SMS alerts to guardians and an alarm for immediate audio alerts.
5. Fail-Safe Mechanisms: Redundant checks and manual override options to prevent false alarms and ensure safety.
CarFather aims to provide peace of mind to parents and guardians, ensuring that their children are safe from the dangers of being left alone in a locked car. This project not only leverages technology to address a significant safety concern but also promotes awareness and proactive measures to prevent such incidents.