CamGuardians - Preread incidentprev.pptx

Hackfest2023

1. CamGuardians Development Progress Report Enhancing Safety through Computer Vision

2. Table of contents 01 02 04 03 Technical Progress Future Development Our Challenges Discussion

3. Technical Progress 01

4. Technical Progress Resulting in a significant boost in object recognition accuracy. We've fine-tuned our AI models, reducing processing time while maintaining high accuracy. Automates the labeling of visual data, reducing the manual workload and increasing data processing speed. Enhanced Computer Vision Algorithms AI Model Optimization Auto Data Labelling

5. Future Development 02

6. Future Development We aim to identify an even wider range of safety gear and potential hazards with higher accuracy. This will allow users to monitor and receive alerts on the go, enhancing overall accessibility. We plan to expand CamGuardians ' compatibility with IoT devices commonly found in workplaces. This will streamline the process of documenting adherence to safety regulations. Enhanced Object Recognition Mobile Application Integration with IoT Devices Compliance Reporting

7. Our Challenges 03

8. Balancing user customization with simplicity. Supporting CamGuardians on multiple platforms, including web, mobile, and IoT devices. Ensuring CamGuardians is compatible with a wide range of IoT devices. Maintaining high accuracy while adapting to changing environments. Cross-Device Compatibility Customization Without Complexity AI Model Training Multi-Platform Support Our Challenges

9. Discussion 04