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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.

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Alif Semiconductor Demonstration of Face Detection and Driver Monitoring On a Battery, at the Edge

Alexandra Kazerounian, Senior Product Marketing Manager at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kazerounian demonstrates how AI/ML workloads can run directly on her company’s ultra-low-power Ensemble and Balletto 32-bit microcontrollers. Watch as the AI/ML AppKit runs real-time face detection using an

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Inuitive Demonstration of On-camera SLAM, Depth and AI Using a NU4X00-based Sensor Module

Shay Harel, Field Application Engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Harel demonstrates one of several examples his company presented at the Summit, highlighting the capabilities of its latest vision-on-chip technology. In this demo, the NU4X00 processor performs depth sensing, object

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STMicroelectronics Demonstration of Real-time Object Detection and Tracking

Therese Mbock, Product Marketing Engineer at STMicroelectronics, and Sylvain Bernard, Founder and Solutions Architect at Siana Systems, demonstration the companies’ latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Mbock and Bernard demonstrate using STMicroelectronics’ VD66GY and STM32N6 for real-time object tracking, ideal for surveillance and automation.

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STMicroelectronics Demonstration of Real-time Multi-pose Detection

Therese Mbock, Product Marketing Engineer at STMicroelectronics, and Sylvain Bernard, Founder and Solutions Architect at Siana Systems, demonstration the companies’ latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Mbock and Bernard demonstrate using STMicroelectronics’ VD55G1 and STM32N6 to detect real-time human poses, ideal for fitness, gestures, and gaming.

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Robot-based Shelf Monitoring Cameras for Retail Operation Efficiency

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Robot-based shelf monitoring systems integrate camera systems with autonomous robotics. It helps ensure seamless inventory tracking, planogram compliance, and shelf organization. Discover how these camera-based systems work and their must-have imaging features. Retail management has

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Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms

Swapna Guramani, Applications Engineer for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Guramani demonstrates her company’s latest AI/ML capabilities in action: real-time object recognition using the SAMA7G54 32-bit MPU running Edge Impulse’s FOMO model, and facial recognition powered by TensorFlow Lite’s Mobile

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3LC Demonstration of Debugging YOLO with 3LC’s Training-time Truth Detector

Paul Endresen, CEO of 3LC, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Andresen demonstrates how to uncover hidden treasures in the COCO dataset – like unlabeled forks and phantom objects – using his platform’s training-time introspection tools. In this demo, 3LC eavesdrops on a

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VeriSilicon Demonstration of a Partner Application In the iEVCam

Halim Theny, VP of Product Engineering at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Theny demonstrates a customer’s SoC, featuring a collaboration with a premier camera vendor using an event-based sensor to detect motion, and processed by VeriSilicon’s NPU and vision DSP. This

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Considerate Cars: Making Calls for Coffee and Keeping Drivers Alert

Caffeine ready to collect as the car decides to pull over to charge could become the normality of the future, as software-defined vehicle technology and the presence of AI within vehicles advances. IDTechEx’s portfolios of Robotics & Autonomy and Semiconductors, Computing & AI research reports cover passenger safety and increased comfort, while the research onElectric

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