Lightweight AI inference engine for smart LiDAR
Technology Introduction:
This technology specializes in low-latency, low-power smart LiDAR and edge AI systems. By employing advanced lightweight model training and model caching techniques, it effectively reduces bandwidth requirements during AI inference. Notably, when processing the lightweight YOLOv7-Tiny model, it achieves an impressive 4500 FPS while consuming only 38mW of power.
Industry Applicability:
This technology delivers key advantages, including low latency and low power consumption, making it an optimal choice for integration into edge AI systems. It is particularly well-suited for applications demanding rapid response, such as high-speed aerial vehicles and automobiles, as well as for systems requiring prolonged operation, such as surveillance and monitoring solutions.
This technology specializes in low-latency, low-power smart LiDAR and edge AI systems. By employing advanced lightweight model training and model caching techniques, it effectively reduces bandwidth requirements during AI inference. Notably, when processing the lightweight YOLOv7-Tiny model, it achieves an impressive 4500 FPS while consuming only 38mW of power.
Industry Applicability:
This technology delivers key advantages, including low latency and low power consumption, making it an optimal choice for integration into edge AI systems. It is particularly well-suited for applications demanding rapid response, such as high-speed aerial vehicles and automobiles, as well as for systems requiring prolonged operation, such as surveillance and monitoring solutions.
Industrial Applications:
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National Yang Ming Chiao Tung University
National Yang Ming Chiao Tung University (NYCU) was formed in 2021 through the merger of National Yang Ming University and National Chiao Tung University. Located in Hsinchu, Taiwan, NYCU is a leading institution specializing in technology, engineering, medicine, and social sciences. The university is known for its strengths in research and innovation, particularly in areas such as information technology, biomedicine, and artificial intelligence. NYCU fosters interdisciplinary collaboration, global partnerships, and aims to nurture professionals with strong academic foundations and leadership skills to address societal challenges and contribute to technological advancements.
Contact Information
Name：-
Tel：03-571-2121 #59395
Address：No. 75, Boai Street, Hsinchu 300, Taiwan, ROC
Additional Information
Pavilion：Future Tech AI Applications and Industry-Academia Co-op FJ08
Exhibiting Entity：National Science and Technology Council
Application Category：Life Application
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Pavilion：Future Tech AI Applications and Industry-Academia Co-op FJ08
Exhibiting Entity：National Science and Technology Council
Application Category：Life Application
