Hawker centres are a cherished part of daily life in Singapore, but eating there can mean wasting time circling for seats or queuing at packed stalls with no visibility of how crowded it is until you arrive. Under hot, humid weather this is frustrating for office workers rushing lunch, or families with young or elderly members.

Our project, HawkerEase, is a mobile application that provides a real-time view of hawker centre activity. Using overhead cameras and computer vision, HawkerSpot detects people and common “chope” objects such as tissue packets or umbrellas to estimate which tables are occupied. The same camera feeds are used to estimate queue lengths at each stall. Diners can quickly compare queues, find less crowded seating areas, or decide if another nearby centre is a better choice. Our hackathon prototype showcases a live-style seat map, stall queues and peak-hour patterns using simulated occupancy data, backed by a modular back end that can later ingest computer-vision outputs from overhead cameras. HawkerSpot aims to reduce waiting time, smoothen crowds, and make hawker dining more convenient and enjoyable.

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  • lovable
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