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• Self-driving cars: Self-driving cars utilise CV to recognise objects such as lamp posts, pedestrian crossings,
and stop signs. Image classification and object detection techniques enable self-driving cars to identify road
boundaries, obstacles, and determine actions such as stopping or continuing to drive.
• Surveillance systems: Computer vision is widely used in surveillance systems to enhance security in public
spaces, buildings, and border areas. It enables the detection of suspicious activities by analysing patterns and
behaviours captured on camera. The technology can track individuals or vehicles using object detection and
tracking algorithms, ensuring continuous monitoring. Advanced systems also incorporate facial recognition and
anomaly detection for improved accuracy and efficiency in threat identification.
Revisiting AI Project Cycle & Ethical Frameworks for AI 147

