Object Identification Functions
“Deep Sentinel: Lessons Learned Building, Operating and Scaling an Edge AI Computer Vision Company,” a Presentation from Deep Sentinel
David Selinger, CEO of Deep Sentinel, presents the “Deep Sentinel: Lessons Learned Building, Operating and Scaling an Edge AI Computer Vision Company” tutorial at the May 2025 Embedded Vision Summit. Deep Sentinel’s edge AI security cameras stop some 45,000 crimes per year. Unlike most security camera systems, they don’t just… “Deep Sentinel: Lessons Learned Building,
Automated Driving for All: Snapdragon Ride Pilot System Brings State-of-the-art Safety and Comfort Features to Drivers Across the Globe
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies, Inc. introduces Snapdragon Ride Pilot at IAA Mobility 2025 What you should know: Qualcomm Technologies, Inc. has introduced Snapdragon Ride Pilot to help make driving more safety-focused and convenient for people around the world. Features
How AI-powered Cameras Are Transforming Data Center Security
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Data centers process, store, and transmit enormous volumes of data. So, it makes them natural targets for intrusion, sabotage, and other violations. Learn about the importance of AI-based camera surveillance in data centers and their
Next-gen Fleet Telematics and Dashcams Shift to On-device AI
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The role of dashcams has changed significantly over the past decade. What began as a passive recording device has become an active, intelligent safety and operations tool. This evolution is being driven by edge AI—the ability to
“Taking Computer Vision Products from Prototype to Robust Product,” an Interview with Blue River Technology
Chris Padwick, Machine Learning Engineer at Blue River Technology, talks with Mark Jamtgaard, Director of Technology at RetailNext for the “Taking Computer Vision Products from Prototype to Robust Product,” interview at the May 2025 Embedded Vision Summit. When developing computer vision-based products, getting from a proof of concept to a… “Taking Computer Vision Products from
Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI and OpenUSD accelerate safe, scalable autonomous vehicle development by enabling simulation-first approaches. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their
“Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data,” a Presentation from AI Tensors
Ravi Kota, CEO of AI Tensors, presents the “Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data” tutorial at the May 2025 Embedded Vision Summit. AITCare-Vision predicts cognitive decline by analyzing sleep-wake disorders data in older adults. Using computer vision and motion sensors coupled with AI algorithms,… “Using Computer Vision for Early
“AI-powered Scouting: Democratizing Talent Discovery in Sports,” a Presentation from ai.io
Jonathan Lee, Chief Product Officer at ai.io, presents the “AI-powered Scouting: Democratizing Talent Discovery in Sports,” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Lee shares his experience using AI and computer vision to revolutionize talent identification in sports. By developing aiScout, a platform that enables athletes… “AI-powered Scouting: Democratizing Talent Discovery
Capgemini Leverages Qualcomm Dragonwing Portfolio to Enhance Railway Monitoring with Edge AI
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI device powered by Qualcomm Dragonwing boosts productivity and reduces cloud dependence in Capgemini’s monitoring application for grade crossings Capgemini moved from their previous hardware solution to an edge AI device powered by the Qualcomm® Dragonwing™ QCS6490
Why 4K HDR Imaging is Required in Front View Cameras?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Mobility systems require front-view cameras that depend on visual intelligence. Hence, the camera’s input is the starting point for every decision. Learn why 4K HDR imaging is critical in front-view cameras and explore five major
Snapdragon Ride: A Foundational Platform for Automakers to Scale with the ADAS Market
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The automotive industry is well into the transformation of vehicle architectures and consumer-driven experiences. As the demand for advanced driver assistance systems (ADAS) technologies continues to soar, Qualcomm Technologies’ cutting-edge Snapdragon Ride Platforms are setting a new standard for automotive
“Visual Search: Fine-grained Recognition with Embedding Models for the Edge,” a Presentation from Gimlet Labs
Omid Azizi, Co-Founder of Gimlet Labs, presents the “Visual Search: Fine-grained Recognition with Embedding Models for the Edge” tutorial at the May 2025 Embedded Vision Summit. In the domain of AI vision, we have seen an explosion of models that can reliably detect objects of various types, from people to… “Visual Search: Fine-grained Recognition with
How High-resolution Cameras Are Transforming Traffic Enforcement and Monitoring
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Smart traffic systems leverage embedded camera solutions to help manage roadways, record violations, and detect traffic anomalies. Get expert insights on how cameras work in these systems, their top use cases applications, and key imaging
Texas Instruments Demonstration of Edge AI Inference and Video Streaming Over Wi-Fi
The demonstration shows how to use Texas Instruments’ AM6xA to capture live video, perform machine learning, and stream video over Wi-Fi. The video is encoded with H.264/H.265, and streamed via UDP over Wi-Fi using the CC33xx. At the receiver side, the video is decoded and displayed on a screen. The receiver side could be a
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
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
“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence
Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to plays an increasingly important role in
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
