SafeSpace: Revolutionizing Industrial Safety
Where Smart Tech Meets Safety: Protecting Every Moment, Every Worker.
Created on 8th November 2024
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SafeSpace: Revolutionizing Industrial Safety
Where Smart Tech Meets Safety: Protecting Every Moment, Every Worker.
The problem SafeSpace: Revolutionizing Industrial Safety solves
Background : Traditional Safety Checks and Their Limitations
In many industrial and high-risk environments, safety checks have traditionally been carried out manually by supervisors or safety officers. These tasks typically include:
PPE Compliance : Safety officers visually inspect whether workers are wearing the required Personal Protective Equipment (PPE), such as helmets, gloves, vests, and goggles.
Environmental Hazard Monitoring : Supervisors perform periodic checks for hazards like gas leaks, fires, or equipment malfunctions. While human oversight is essential, these manual processes are prone to several limitations:
- Human Error and Oversight
PPE Checks : Manual inspections are prone to errors, allowing workers to slip through and face unprotected hazards.
Environmental Hazards : Hazard detection depends on patrols, but gas leaks or fires can go unnoticed, especially in remote areas. - Inconsistent Monitoring:
Time Gaps in Safety Checks : Safety checks at fixed intervals may miss risks in between without immediate detection.
Subjectivity in Enforcement : Human safety officers may have varying standards or perceptions of compliance.
How AI and IoT Are Assisting
AI and IoT technologies are revolutionizing safety protocols by offering continuous, automated monitoring that eliminates inefficiencies and risks associated with human oversight.
- AI-Powered PPE Compliance
Automatic Detection & Real-Time Alerts: Using CCTV and AI, the system continuously monitors PPE compliance, instantly alerting supervisors if a worker is missing required gear, ensuring immediate action without delays. - IoT-Enabled Environmental Hazard Detection
Continuous Monitoring & Instant Hazard Alerts : IoT sensors provide 24/7 monitoring for hazards like gas leaks, smoke, and fire, instantly alerting personnel to reduce response times and prevent accidents before they escalate. - Consistency & Scalability: AI and IoT provide 24/7 monitoring and enforce uniform safety standards.
Challenges we ran into
Challenges We Ran Into
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Time Constraints for Model Training
Training AI models to accurately detect PPE usually requires extensive time, especially with larger datasets. With only 36 hours, we had to balance accuracy with speed. To tackle this, we used a pre-trained model and fine-tuned it with a smaller, high-quality dataset, which saved time without compromising detection accuracy. -
Rapid Hardware and Sensor Integration
Integrating IoT sensors for real-time hazard detection posed a challenge due to limited setup time. We had to quickly configure and calibrate multiple sensors in a short span. To expedite the process, we prioritized essential sensors, conducted batch testing, and used pre-configured API modules to streamline integration. -
Testing and Debugging in Limited Time
Thorough testing and debugging are essential but challenging in a rapid development cycle. We streamlined this by running parallel tests on different modules, addressing critical bugs immediately, and noting minor issues to address later, enabling us to deliver a stable prototype.
Tracks Applied (3)
Best Use of MongoDB Atlas
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Best use of GitHub
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Best Project Built Using Gemini API
The Gemini API is used in SafeSpace to enhance voice-based interactions. It identifies whether a worker is compliant wit...Read MoreGoogle For Developers