SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, today announced a joint partnership with CVEDIA and Inventec to build and deploy smart transportation solutions for the embedded edge. The companies will deliver a joint solution that combines CVEDIA’s AI-based video analytics solutions with Inventec edge appliances, powered by SiMa.ai’s Machine Learning System on Chip (MLSoC).
The partnership enables customers to deploy machine learning applications in less time and at a lower cost. Local municipalities will be able to run AI-based solutions on the SiMa.ai MLSoC that incorporate CVEDIA’s transportation application analytics and computer vision solutions for use cases such as tailgating, vulnerable road user detection, license plate recognition and vehicle classification at the edge.
SiMa.ai’s mission is to help customers deploy high-performance AI/ML applications at the edge with a high bar for energy-efficiency and ease of use with partners,” said Elizabeth Samara-Rubio, Chief Business Officer of SiMa.ai. “We are pleased to partner with CVEDIA to further enable customers to scale their smart transportation AI/ML edge development challenges effortlessly with one platform.”
Leveraging CVEDIA’s strength in Intelligent Video analytics and SiMa.ai’s software centric MLSoC, we are excited to introduce an innovative edge AI/ML solution that strikes an optimum balance between performance and power,” said Arjan Wijnveen, CEO of CVEDIA. “The collaboration enables a completely new era of AI/ML solutions at the edge that optimize and scale the use cases, and propel value added services.”
Inventec is proud to partner with SiMa.ai in bringing to market a powerful and affordable Edge AI solution that supports 5G, WiFi, and ethernet connectivity,” said Edward King, Vice President of Inventec. “We are really honored to partner with SiMa.ai in the ever-growing edge AI market. With the SiMa.ai technology and this product we aim to tap into a broad set of applications and marketplaces where computing power, AI processing, and budget are aligned.”
SiMa.ai delivers one platform for all edge AI that scales with customers as their AI/ML journey evolves, from computer vision, to transformers to multimodal generative AI. The MLSoC enables multiple AI models to run simultaneously on a single camera stream, with industry-leading latency and accuracy. Customers benefit from increased compute capabilities to run multiple channels concurrently, while maximizing efficiency by delivering the highest performance frames per second per watt (FPS/W). SiMa.ai’s MLSoC technology along with its Palette software empowers customers with the tools to seamlessly deploy, run, and maintain their ML applications in a matter of minutes.