Embedded Vision Insights | Q3 FY 2025-26
From Edge AI compute to sensor fusion, from proactive safety to real-world deployments, this quarter's ReFocus brings together the technologies shaping Physical AI at the edge.
Discover our latest innovations in embedded vision technology
As edge AI workloads grow in complexity, system architects increasingly need compact, rugged, and highly scalable compute platforms that can process massive visual and sensor data in real time.
To address this need, e-con Systems® is launching its first NVIDIA® Jetson-powered Edge AI Vision Box — Darsi Pro at CES 2026, taking place from January 6–9, 2026, at the Las Vegas Convention Center (LVCC), North Hall, Booth #9574.
Darsi Pro is purpose-built for advanced autonomous and Physical AI applications, with live demonstrations planned across:
Additional Darsi variants are in development, including a PoE-based model and support for NVIDIA Jetson Thor.
In-depth analysis and technical insights for your vision projects
As AI systems increasingly rely on multiple sensors, efficient aggregation and synchronization become critical challenges.
In an exclusive technical webinar hosted by e-con Systems®, NVIDIA®, and Lattice Semiconductor®, experts demonstrated how Holoscan camera solutions leverage Lattice FPGAs to bridge and synchronize diverse sensor inputs on the NVIDIA Jetson Thor platform.
TTraditional occupational safety approaches often rely on incident reporting after the fact. However, modern industries are increasingly shifting toward proactive safety management, enabled by real-time perception.
In our recent webinar, e-con Systems hosted an in-depth session on how AI-powered vision systems are transforming Occupational Safety and Health (OSH) across industrial and on-site environments.
Modern tolling infrastructure requires high accuracy, minimal latency, and reliable outdoor performance—often under power and environmental constraints.
e-con Systems developed a comprehensive end-to-end vision AI platform for Multi-Lane Free-Flow (MLFF) tolling, combining:
The solution enabled:
Our exclusive podcast series covering embedded vision, AI, and real-world use cases
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Stay ahead with our latest insights and expert blogs
Lens flare in embedded vision can degrade image quality and compromise system reliability, resulting in lost details in bright areas.
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Creating safer and smarter workplaces starts with prioritizing employee well-being.
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AI-powered rear view cameras have evolved from simple visibility tools to intelligent vision systems that enhance safety, situational awareness, and driver assistance.
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Highways are shifting from booth-based tolling to lane-free automation that keeps vehicles moving.
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Autofocus is crucial in embedded vision applications across various industries, including medical devices, robotics, and autonomous vehicles.
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Indirect ToF has emerged as a practical depth-sensing method for automation, robotics, and mobility systems.
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Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust.
Read MoreWe showcased live demos and met innovators at
Explore our video library for technical insights and product demonstrations