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AMD to Power AI-Based Smart Parking Solution for Sun Singapore, the Country’s Largest Provider of Smart Parking Services
来源: Nasdaq GlobeNewswire / 19 6月 2024 09:00:00 America/New_York
SANTA CLARA, Calif., June 19, 2024 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today announced that Sun Singapore Systems Pte. Ltd., the largest smart parking solutions provider in Singapore, is deploying a new AI-based smart parking solution, powered by AMD Zynq™ UltraScale+™ MPSoC devices. The intelligent solution improves the accuracy of vehicle license plate recognition and enables advanced features like parking spot vacancy detection, lane jam, accident detection, and parking violation enforcement.
Sun Singapore's new AI-based smart parking system uses PlanetSpark’s EdgeAI Box X7, which is powered by FPGA-based AMD Zynq UltraScale+ MPSoCs. Aupera Technologies also helped design and develop FPGA firmware and AI vision solutions for accurate license plate reading. The resulting solution provides low latency, energy efficiency, and real-time AI inferencing at the edge. FPGAs provide the long lifecycle demanded by edge devices, with the hardware flexibility to adapt to changing AI models, algorithms and evolving demands and standards.
“With our focus on durability, low latency and flexibility, the AMD FPGA-based edge AI solution, with its proven ability to support complex calculations on large amounts of data, was the right choice for us,” said Eddie Ng, senior sales manager, Sun Singapore. “The adaptability of the new edge AI solution will also allow us to deliver new applications to improve car parking system features and services for our customers.”
“PlanetSpark is committed to driving sustainable innovation with our Green & Agile solutions, providing unmatched energy efficiency and performance at the edge,” said Ms. Phuay Li Ying, Managing Director, PlanetSpark. “We are delighted to work with AMD on this solution, which will bring significant improvements to the Smart Parking market.”
Currently, the technology inside most electronic parking systems in Singapore is more than two decades old. Legacy infrastructure lacks AI inferencing which can deliver more system functions and features. This new solution will enhance the system greatly, allowing the data generated through AI to provide advanced reporting to car park operators.
With the AMD solution utilizing the most up-to-date technology, enabling license plate reading accuracy of 99% as well as updated parking spot vacancy detection and parking violation enforcement, Sun Singapore is now able to provide a total solution for smart parking.
“Sun Singapore and PlanetSpark exemplify the power of AMD Zynq UltraScale+ MPSoC’s ability to enable access to sensor fusion applications,” said Chetan Khona, senior director of Industrial, Vision, Healthcare and Sciences Markets, AMD. “By processing data from a variety of inputs, customers can leverage AI to enhance processes we take for granted across a variety of applications, be it smart city, manufacturing, robotics, and beyond.”
Supporting Resources
- Learn more about the AMD Zynq UltraScale+ MPSoC
- Read the AMD case study on Sun Singapore
- Read the AMD case study on PlanetSpark
- Follow AMD on LinkedIn
- Follow AMD on X
About AMD
For more than 50 years AMD has driven innovation in high-performance computing, graphics, and visualization technologies. Billions of people, leading Fortune 500 businesses, and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work, and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog, LinkedIn, and X pages.All performance and/or cost savings claims are provided by Sun Singapore and have not been independently verified by AMD. Performance and cost benefits are impacted by a variety of variables. Results herein are specific to Sun Singapore, and may not be typical. GD-181.
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