Object Identification

Object Identification Functions

The Role of Embedded Cameras in Ensuring Perimeter Security

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as

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Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors

Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as

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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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How Do Surround-view Cameras Improve Driving and Parking Safety?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. As vehicles become more complex, their need for accurate imaging has increased. This has driven the adoption of surround-view cameras. They give drivers a complete, real-time, 360-degree view of the vehicle, thereby improving situational awareness

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Synopsys Demonstration of Siengine’s AD1000 ADAS Chip, Powered by Synopsys NPX6 NPU IP

Gordon Cooper, Principal Product Manager at Synopsys, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Cooper demonstrates the powerful SiEngine AD1000 NPU and the robust toolchain including debugger, profiler, and simulator, which features Synopsys NPX6 NPU IP. Learn how the platform supports TensorFlow, ONNX, and

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Sony Semiconductor Demonstration of On-sensor YOLO Inference with the Sony IMX500 and Raspberry Pi

Amir Servi, Edge AI Product Manager at Sony Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Servi demonstrates the IMX500 — the first vision sensor with integrated edge AI processing capabilities. Using the Raspberry Pi AI Camera and Ultralytics YOLOv11n models, Servi showcases real-time

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Namuga Vision Connectivity Demonstration of Compact Solid-state LiDAR for Automotive and Robotics Applications

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a compact solid-state LiDAR solution tailored for automotive and robotics industries. This solid-state LiDAR features high precision, fast response time, and no moving parts—ideal for

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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