Embedded Vision Insights | Q1 FY 2026-27
This quarter, e-con Systems introduced new embedded vision product, published in-depth engineering resources, shared customer success stories, released new podcast episodes and videos, and showcased its latest innovations at leading global industry events.
Discover our latest innovations in embedded vision technology
Designed for reliable, context-aware imaging from day to night, STURDeCAM57 combines an automotive-grade image sensor with e-con Systems' finely tuned on-board ISP to deliver simultaneous RGB and IR processing directly within the camera.
Optimized for NVIDIA® Jetson™ platforms, it enables high-performance embedded vision for AI applications while reducing system complexity.
In-depth case studies and technical insights for your vision projects
e-con Systems collaborated with a leading physical AI company to develop a custom RGB-D vision platform for high-volume robotic manipulation. The solution enabled synchronized depth and color capture, multi-camera operation, GMSL-to-PCIe streaming, SDK optimization, and cleaner 3D data. This empowered the client to improve robotic perception, depth accuracy, and long-term deployment stability.
Key challenges faced by the client
e-con Systems collaborated with a leading sports technology provider to develop a customizable 4K OEM camera platform for automated sports recording and live streaming. The solution enabled high-resolution, wide-area video capture across diverse sports environments, while providing greater flexibility in optics, seamless platform integration, and OEM branding support—helping the client scale their sports recording infrastructure efficiently.
Key Challenges Faced by the Client
Vision Vitals is our podcast series where we explore embedded vision technologies, engineering challenges, and real-world applications through conversations with industry experts.
Available on all major platforms:
Stay up to date with the latest engineering insights, practical design guides, and embedded vision best practices.
Time-of-Flight (ToF) cameras generate depth maps by measuring the phase shift between emitted near-infrared light and its reflection.
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Fixed-function USB camera chips define a rigid pipeline from sensor to output and leave no room for reconfiguration. e-con Systems has built a USB camera solution on Lattice Semiconductor's CrossLink-NX33U FPGA that replaces that constraint.
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Simply put, a frame grabber is the bridge between a camera (or a group of cameras) and a computer system. It captures image streams, timestamps/synchronizes them (when needed).
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True operational autonomy requires more than mapping since robots have stringent expectations to meet. They must manage their own energy, return to charge when needed, and resume their missions without human intervention.
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Crash investigations often begin after the scene has shifted, leaving investigators with fragmented accounts, limited physical traces, and disputed liability.
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City intersections are rapidly evolving into intelligent sensing environments where real-time traffic perception enables adaptive traffic control, traffic flow optimization, and intersection safety analytics.
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FPV drones depend on camera pipelines that can handle low latency, fast motion, mixed lighting, vibration, and rapid exposure changes. After all, the use cases can be challenging, from high-risk surveillance and inspection to rescue, defense and more.
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When a data center, water treatment plant, power grid, or oil refinery is the target, security failure is measured in consequences. Unauthorized intrusion into the surveillance network can threaten safety systems.
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Delivery robots rely on camera feeds for navigation, cargo visibility, obstacle awareness, and remote supervision. But real-world deployments involve placing those cameras in rain, dust, glare, low light, tight compartments, and collision-prone points.
Read MoreThis quarter, our team connected with engineers, system integrators, OEMs, and technology leaders across the world.
Discover our latest product demonstrations, engineering explainers, and application-focused videos.