Yealink Unveils Edge AI in Meeting Spaces at ISE 2025

Welcome back to the OptimusEdge. Yealink just dropped next-gen AI-powered meeting tech at ISE 2025! With Edge AI, multi-camera intelligence, and real-time tracking, meetings are getting sharper, faster, and more immersive—no cloud delays, just instant AI magic.

The Edge Upload: Today’s Insights 

• Yealink’s next-gen-ai meeting spaces powered with Edge AI.

• STMicroelectronics Launches Edge AI Microcontroller

• Raspberry Pi and Sony Unveil $70 AI Camera Module

• Tools: Edge AI with Canonical, AI at the edge - github repo

• Podcasts : AI’s Impact on IoT Architecture, Embedded Edge with Nitin Dahad

⚡EDGE AI TODAY

1. Yealink’s Edge AI: Smarter Meetings with Zero Latency - Yealink is redefining hybrid meetings with Edge AI-powered multi-camera systems, unveiled at ISE 2025. By shifting AI processing from the cloud to the edge, Yealink ensures real-time tracking, crystal-clear visuals, and seamless collaboration—no delays, just pure AI efficiency. This move positions Yealink at the forefront of intelligent meeting room solutions.

2. AudioCodes Introduces AI-Driven Intelligent Meeting Room Solution - AudioCodes has launched its Intelligent Meeting Room solution, integrating advanced AI to enhance hybrid meetings. The system offers automated meeting summaries through generative AI and features like face detection and multi-camera streaming, aiming to boost productivity and collaboration.

3. Kandao Showcases AI-Powered 360° Video Conferencing at ISE 2025 - Kandao is set to make a significant impact at ISE 2025 with its AI-powered 360-degree video conferencing solutions. Designed for conference rooms of all sizes, these systems integrate cutting-edge AI algorithms and 360-degree imaging technology to provide seamless and immersive collaboration experiences.

🚨EDGE AI & MECHATRONICS FRONTIER NEWS

1. STMicroelectronics Launches Edge AI Microcontroller - STMicroelectronics has introduced the STM32N6 series, its first microcontrollers designed specifically for edge AI and machine learning applications. These microcontrollers enhance image and audio processing in consumer and industrial electronics, enabling localized data processing in devices like cars, factories, and wearables. This approach reduces reliance on large data centres, leading to time and energy savings.

2. DeGirum Unveils AI Hub to Accelerate Edge AI Development - DeGirum has launched its AI Hub, an evaluation platform aimed at simplifying AI prototyping and development at the edge. The platform supports various accelerators and application processors, including those from Hailo, Intel, and BrainChip. With access to over 1,000 AI models, developers can experiment and deploy AI solutions more efficiently, fostering innovation in edge AI applications.

🔬 EDGE LABS - RESEARCH THAT’L MELT YOUR BRAIN

1. Raspberry Pi and Sony Unveil $70 AI Camera Module - Raspberry Pi and Sony have co-developed a $70 AI-powered camera module, available now. This compact device combines Raspberry Pi's RP2040 microcontroller with Sony's IMX500 image sensor, enabling developers to create edge AI solutions without extra hardware. It captures high-resolution images and is compatible with all Raspberry Pi single-board computers.

2. Untether AI Launches Edge AI Chip for Autonomous Vehicles - Start-up Untether AI has introduced a new chip designed to power AI applications in edge devices like autonomous vehicles and agricultural equipment. Unlike traditional chips used in data centres, Untether's design focuses on efficient AI inference, crucial for real-time decision-making in edge scenarios. Mercedes-Benz is collaborating with Untether to integrate this technology into next-generation self-driving cars. 

⚙️ EDGESPARKS - USE CASES & TOOLS

1.  Edge AI with Canonical -  offers an end-to-end MLOps solution that enables you to train your models for edge AI projects.

2. AI at the edge - A curated github list of hardware, software, frameworks and other resources for Artificial Intelligence at the edge. Inspired by awesome-dataviz.

🎙️EDGEVERSE PODASTS

1. AI’s Impact on IoT Architecture - This episode explores how AI is transforming industries and the opportunities and challenges in IoT implementation.

2. Embedded Edge with Nitin Dahad - In this episode, Nitin Dahad interviews Sam Geha, Executive Vice President at Infineon Technologies, discussing how edge AI is propelling IoT advancements

That’s it for today !☀️ 

Edge AI is levelling up—are you? Until next time, stay curious, stay building, and don’t let your machines take over. 🤖😆

Your Edge AI Explorer,
Sharat Sami (Let’s connect on LinkedIn)