S2E3 - Mahammad Ayan Shaikh on Building Real-Time AI Collision Detection with IoT

Mahammad Ayan Shaikh on Building Real-Time AI Collision Detection with IoT

In this episode of AI in Action, Dr. Sidney Shapiro sits down with Mahammad Ayan Shaikh, Computer Programming student and CPIN Lab Monitor at Cambrian College, to explore how artificial intelligence and the Internet of Things are converging to power the next generation of embedded systems. Drawing from his hands-on experience designing and troubleshooting IoT prototypes, Mahammad discusses how AI enhances connected devices by transforming real-time sensor data into intelligent, autonomous decision-making.

The conversation highlights one of his most ambitious projects: a real-time collision-detection and automated emergency-notification system. Designed to activate in the event of an accident, the system detects impact, captures GPS location and environmental data, and transmits critical information to emergency contacts or services. Through this example, listeners gain insight into the technical and operational challenges of integrating hardware, sensors, edge processing, and secure data transmission into a reliable safety solution.

Dr. Shapiro and Mahammad also examine broader trends shaping the industry, including the rise of edge computing, increased device-level intelligence, and the shift away from cloud-dependent architectures. They address the growing importance of cybersecurity, encryption, and responsible data governance as IoT devices collect and process sensitive information at scale. The episode further explores the gap between academic prototypes and real-world deployment, outlining the technical, organizational, and talent-related barriers businesses face when adopting AI-driven IoT solutions.

For students and professionals entering the field, Mahammad shares practical advice on building foundational programming skills, working with microcontrollers such as Arduino and Raspberry Pi, and gaining hands-on experience through applied projects. This episode provides a grounded perspective on how embedded systems, AI, and IoT are reshaping industries through intelligent automation, real-time responsiveness, and connected innovation.

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