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From Sensor Data to Smart Decisions: How We Built a Contactless Security System with AI
- During Deep Blue Season 6, a team of students tackled the urgent need to automate residential society gate security.
- The team designed an AI-powered contactless gate system using facial recognition, sensor data, and automation logic.
- Initially designed for building entry, the system was moved to the main gate to accommodate the varied ways people enter societies.
- The system had two parallel flows for walk-ins and vehicles, each with its own logic and triggers.
- The core components used in the system included Python for logic, OpenCV for face detection, and IR temperature sensors for monitoring.
- Challenges like face recognition with masks and gate triggering for vehicles were addressed through training and design adjustments.
- Real-world behaviors, such as drivers lowering windows for interaction, were considered to ensure smooth vehicle entry.
- Feedback mechanisms and defined fallback flows were implemented for every possible failure scenario.
- Lessons learned included the importance of user experience design and interaction with real-world users.
- The team presented a fully working prototype to mentors, showcasing real-time face recognition and gate control.
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