Winners of the tinyML Traffic Hackathon demonstrate the future of pedestrian safety

The winners of the Pedestrian Safety Challenge Hackathon competition have been announced. The hackathon was a collaboration between the TinyML Foundation the City of San Jose and  Sony Semiconductor Solutions America (SSSA). This initiative began in May with the aim of reducing pedestrian-involved accidents, aligning with the city's Vision Zero initiatives. 

The challenge was a response to the increasing number of pedestrian injuries and fatalities due to issues such as distracted driving, distracted walking, and illegal road crossings.

The competition saw participation from 29 teams globally, including countries like the United States, Germany, Lebanon, Nigeria, and Saudi Arabia. Teams from Silicon Valley and the San Francisco Bay Area also took part. Mark Hanson, Vice President and Head of Marketing for System Solution Business Development at SSSA, expressed his optimism about the innovative solutions presented by the teams and their potential to benefit communities worldwide.

The Leopard Imaging team clinched the first place with their solution that utilized SSSA's AiTrios™ platform and IMX500-enabled hardware. The Neurohm team secured the second place, followed by the team from King Abdullah University of Science and Technology (KAUST) in third place. The KAUST team also received a special Edge Impulse award.

Leopard Imaging is a global leader in camera design and manufacture, creating state-of-the-art, AI-based cameras for Fortune 500 companies. Their reputation is credited by excellent camera manufacture and camera tuning by experts of the field, and the use of highly precise Active Alignment (AA) machines. Over the years their excellence in building artificially intelligent and robust camera solutions has earned Leopard Imaging many certifications like those for automotive-grade camera manufacture and aviation-grade camera development. Their cameras have spanned all imaginable industries, from autonomous vehicles to cashierless carts, smart street lights, and embedded cameras in drones.

Read more about the hackathon in our previous article here.