VisionAI Chrono

Summary

The VisionAI Chrono Project aims to create an automated system that leverages advanced technologies such as computer vision and machine learning to detect actions, in real-time from video feeds. This system will notify the relevant authorities immediately upon detection, allowing for prompt intervention.

Problems Solved

• Enhanced Safety: Provides a proactive approach to safety by enabling quick response to any action.

• Efficiency: Reduces the reliance on manual monitoring, freeing up human resources for other tasks.

• Scalability: Can be scaled to cover multiple locations and large areas.

• Cost Savings: Offers a cost-effective solution compared to hiring and managing large security teams.

Team and Roles

• Mahmmoud A. Mahdi (Supervisor, Innovator, Team Leader)

• Ahmed Hany Al-Sadek (AI Engineer)

• Eslam Mousa Mousa Omar (AI Engineer)

• Osama Mousa Mousa (AI Engineer)

• Ahmed Hashem Shokry (Full-Stack Developer)

• Ahmed Wagih Mohammed (Full-Stack Developer)

• Ayman Mohammed Mokhtar (Back-End Developer)