Object Identification Functions
How Driver Monitoring Cameras Improve Driving Safety and Their Key Features
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Driver monitoring cameras have become widely accepted as a force in improving road safety. They go a long way to address the risks associated with driver inattention and fatigue by helping continuously observe driver behavior.
Namuga Vision Connectivity Demonstration of an AI-powered Total Camera System for an Automotive Bus Solution
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 his company’s AI-powered total camera system. The system is designed for integration into public transportation, especially buses, enhancing safety and automation. It includes front-view, side-view,
Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Human action recognition is a capability in AI systems designed for safety-critical applications, such as surveillance, eldercare, and industrial monitoring. However, many real-world datasets are limited by data imbalance, privacy constraints, or insufficient coverage of rare but
Teledyne FLIR Demonstration of an Advanced Thermal Imaging Camera Enabling Automotive Safety Improvements
Ethan Franz, Senior Software Engineer at Teledyne FLIR, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2025 Embedded Vision Summit. Specifically, Franz demonstrates a state-of-the-art thermal imaging camera for automotive safety applications, designed using Lattice FPGAs. This next-generation camera, also incorporating Teledyne FLIR’s advanced sensing technology,
Lattice Semiconductor Demonstration of Random Bin Picking Based on Structured-Light 3D Scanning
Mark Hoopes, Senior Director of Industrial and Automotive at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Hoopes demonstrates how Lattice FPGAs increase performance, reduce latency and jitter, and reduce overall power for a random bin picking robot. The Lattice FPGA offloads the
Stereo ace for Precise 3D Images Even with Challenging Surfaces
The new high-resolution Basler Stereo ace complements Basler’s 3D product range with an easy-to-integrate series of active stereo cameras that are particularly suitable for logistics and factory automation. Ahrensburg, July 10, 2025 – Basler AG introduces the new active 3D stereo camera series Basler Stereo ace consisting of 6 camera models and thus strengthens its position as
Cadence Demonstration of Waveguide 4D Radar Central Computing on a Tensilica Vision DSP-based Platform
Sriram Kalluri, Product Marketing Manager for Cadence Tensilica DSPs, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kalluri demonstrates the use of the Tensilica Vision 130 (P6) DSP for advanced 4D radar computing for perception sensing used in ADAS applications. The Vision 130 DSP is
Why HDR and LED Flicker Mitigation Are Game-changers for Forward-facing Cameras in ADAS
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In ADAS, forward-facing cameras capture traffic signs, signals, and pedestrians at farther distances using a narrow field of view (FOV). This narrower angle enables the camera to focus on distant objects with greater accuracy, making
Achieving High-speed Automatic Emergency Braking with AI-driven 4D Imaging Radar
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Across the globe, regulators are accelerating efforts to make roads safer through the widespread adoption of Automatic Emergency Braking (AEB). In the United States, the National Highway Traffic Safety Administration (NHTSA) implemented a sweeping regulation that requires
Network Optix Demonstration of How the Company is Powering Scalable Data-driven Video Infrastructure
Tagir Gadelshin, Director of Product at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Gadelshin demonstrates how the company’s latest release, Gen 6 Enterprise, is enabling cloud-powered, event-driven video infrastructure for enterprise organizations at scale. Built on Nx EVOS, Gen 6 Enterprise supports
Network Optix Demonstration of Seamless AI Model Integration with Nx AI Manager
Robert van Emdem, Senior Director of Data Science at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Emdem demonstrates how Nx AI Manager enables seamless deployment of AI models across a wide variety of hardware, including GPU, VPU, and CPU environments. van
Network Optix Demonstration of Extracting AI Model Data with AI Manager
Marcel Wouters, Senior Backend Engineer at Network Optix, the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Wouters demonstrates how Nx AI Manager simplifies the extraction and use of data from AI models. Wouters showcases a live model detecting helmets and vests on a construction site and
How Does a Forward-facing Camera Work, and What Are Its Use Cases in ADAS?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Forward-facing cameras are the proverbial eyes of Advanced Driver Assistance Systems (ADAS). They collect real-time visual data from the vehicle’s surroundings and monitor the road, contributing to the system’s overall situational awareness. They capture key
“Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing,” a Presentation from Tryolabs and the Nature Conservancy
Alicia Schandy Wood, Machine Learning Engineer at Tryolabs, and Vienna Saccomanno, Senior Scientist at The Nature Conservancy, co-present the “Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing” tutorial at the May 2025 Embedded Vision Summit. What occurs between the moment a commercial fishing vessel departs from shore and… “Computer Vision at Sea: Automated
“Beyond the Demo: Turning Computer Vision Prototypes into Scalable, Cost-effective Solutions,” a Presentation from Plainsight Technologies
Kit Merker, CEO of Plainsight Technologies, presents the “Beyond the Demo: Turning Computer Vision Prototypes into Scalable, Cost-effective Solutions” tutorial at the May 2025 Embedded Vision Summit. Many computer vision projects reach proof of concept but stall before production due to high costs, deployment challenges and infrastructure complexity. This presentation… “Beyond the Demo: Turning Computer
How to Select the Right Camera for Pick and Place Robots
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Pick and place robots handle repetitive, labor-intensive tasks. They help deliver high throughput and seamless workflows, thanks to camera solutions. Get expert insights on how cameras work in these robots, their challenges, use cases, and
R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation, object manipulation, and teleoperation in unstructured or unfamiliar spaces. Advances in robotic perception increasingly
Cluster Self-refinement for Enhanced Online Multi-camera People Tracking
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Online multi-camera system for efficient individual tracking Accurate ID management with Cluster Self-Refinement (CSR) Improved performance with enhanced pose estimation In this paper, we introduce our online MCPT methodology, which achieved third place in Track1
