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Lantronix to Demo Percepxion Edge AI Solution Prototype at Qualcomm AI Workshop on June 25, 2024


Lantronix will preview Percepxion’s seamless integration with the Qualcomm AI Hub

IRVINE, Calif., June 25, 2024 — Lantronix Inc. (NASDAQ: LTRX), a global leader of compute and connectivity IoT solutions, today announced that it will demonstrate its Percepxion™ Edge AI Solution prototype’s seamless integration with the Qualcomm® AI Hub at Qualcomm’s AI Analyst and Media Workshop being held on June 25, 2024.

Together, this integrated solution delivers a robust platform for optimized model performance, supporting the rapid development, deployment and acceleration of edge AI solutions for industries such as smart city, transportation and connected healthcare.

“We are excited to preview the innovative integration of the Percepxion platform with the Qualcomm AI Hub,” said Mathi Gurusamy, chief strategy officer for Lantronix. “This solution highlights our mutual commitment to delivering advanced, scalable AI solutions that meet the evolving IoT needs of industries seeking to be on the leading edge of AI technology, and our integrated approach streamlines AI development processes for the creation of reliable, high-performance AI-driven applications.” Percepxion, integrated with the Qualcomm AI Hub, helps developers deploy applications to the edge, which can reduce decision latency and data costs while providing robust cloud connectivity. Percepxion helps ease the complexity of integrating edge AI in IoT applications and simplifies the process of optimizing and deploying AI models.

“Qualcomm Technologies has made it easier for developers to start deploying AI-optimized models within the Qualcomm AI Hub,” stated Ashish Syal, senior director of Engineering, AI/ML at Lantronix. “The Getting Started page is straightforward; the APIs are clear, and the Slack community is responsive and supportive. The Qualcomm AI Hub is an excellent first step for any developer or company looking to move into AI development.”

Real-life solutions include smart city applications, such as traffic management, public safety monitoring, environmental monitoring, smart utilities, infrastructure management and smart parking.

The Percepxion prototype was designed with the Qualcomm® QRB5165 processor.