[Link to PPT](https://docs.google.com/presentation/d/1lgM9AowM0eXNXF017U9JQ7YBHTPlmkO3Y9bioiH9NIU/edit?usp=sharing)
Noirinsight.mp4
Empowering Healthcare Excellence: Tracking Sanitation, Recognizing Achievements
Litter accumulation undermines infection manipulate efforts and creates an damaging surroundings for patient recovery. Therefore, there is an pressing want for an automatic Hospital Litter Detection System. This device could swiftly identify clutter across health facility zones, allowing prompt cleanup actions and elevating cleanliness standards. With automatic detection, hospitals can make sure a safer and more snug surroundings for patients and body of workers, improving normal healthcare great.
- Implementing a Hospital Sanitation Monitor
- Increasing staff awareness and training
- Improving waste management infrastructure
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Automated Alerts: Set up notifications for sanitation issues, ensuring timely response and intervention to maintain hygiene standards, thereby minimizing the risk of infections and promoting a safe environment for patients, staff, and visitors.
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Compliance Tracking: Track compliance with sanitation regulations and standards, generating reports for audits and regulatory inspections, thereby ensuring adherence to industry guidelines and maintaining accreditation.
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Integration with IoT Devices: Integrate with IoT sensors to collect additional data on environmental factors affecting sanitation, such as temperature and humidity, providing comprehensive insights for optimizing sanitation practices and maintaining optimal conditions for patient care.4
- Python
- TensorFlow/Keras (for model development)
- OpenCV (for image and video processing)
- HTML
- CSS
- JavaScript
- Django
- YoloV8
