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How to use e-con Systems’ RouteCAM camera with ONVIF-based and other applications

Prabu Kumar
by Prabu Kumar
Setting up an embedded camera for seamless integration with third-party applications can feel like navigating a maze. That’s why e-con Systems has ensured its RouteCAM series of GigE cameras are ONVIF-supported, making them compatible with popular platforms like VLC, ONVIF Device Manager, and Blue Iris. In this blog, you’ll get......
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How to Support Multi-Planar Format in Python V4L2 Applications on i.MX8M Plus

Prabu Kumar
by Prabu Kumar
The default Python V4L2 library module contains critical details related to the V4L2 capture method. Learn how to implement basic definitions (missing the default library module) and capture images in the V4L2 multi-planar format....
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Unlocking the Power of 100,000 fps: How Quad-Pixel Shutter Control Works

Suresh Madhu
by Suresh Madhu
When objects move fast, typical imaging sensors deal with motion blur, artifacts, and sensitivity issues. But these can be overcome with Sony IMX900’s quad-pixel shutter control. Learn how it enables the 100K fps feature and understand some of the limitations involved....
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How Does ROI-Based Exposure Benefit Embedded Vision Applications?

Prabu Kumar
by Prabu Kumar
ROI-based Auto Exposure (AE) and High Dynamic Range (HDR) enhance image quality in embedded vision. The See3CAM_CU81, a 4K HDR USB camera, integrates these features for precise exposure and dynamic range control, making it ideal for industrial, medical, and surveillance applications....
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How to stream a USB camera via Android and iPhone with a Raspberry Pi board

Suresh Madhu
by Suresh Madhu
In this blog, we’ll look at how you can stream a USB color camera in a handheld such as an Android and iPhone device using the Raspberry Pi board....
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How to use e-con Systems’ USB cameras with MATLAB

Suresh Madhu
by Suresh Madhu
MATLAB offers image processing and computer vision toolboxes for developing and testing algorithms for object detection, image classification, etc. Learn how to use e-con Systems’ plug-and-play USB cameras with MATLAB with zero hassles....
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e-con Systems’ RouteCAM_CU22 simplifies Integration with NVIDIA Metropolis

Suresh Madhu
by Suresh Madhu
NVIDIA Metropolis streamlines the usage of Edge AI applications on NVIDIA Jetson devices with a modular framework. Find out why it's so popular, how it works, and why e-con Systems’ RouteCAM_CU22 is a best-fit camera....
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Unleashing the Power: A Guide to Model Inference and Visualizing Output with EdgeECAM50_USB

Suresh Madhu
by Suresh Madhu
Model inference is a crucial step in deploying machine learning models for practical applications such as Image and Object Recognition, medical diagnosis, and more. The process of model inference entails several intricate steps. Explore the EdgeECAM50_USB device, designed to facilitate efficient model inference and enable effective visualization of output. Learn...
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Bring your own Model (BYOM) and deploy it with EdgeECAM50_USB

Suresh Madhu
by Suresh Madhu
Custom vision AI models can train and customize vision-based machine learning models to tackle specific tasks like image classification, object detection, or image segmentation. With the EdgeECAM50_USB, you can extend the capabilities of your models to operate on the edge, enabling real-time inferencing and analysis directly on the device itself....
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Enabling dual camera streaming for 13MP cameras on NXP i.MX8M Plus

Vinoth Rajagopalan
by Vinoth Rajagopalan
Many compact embedded vision systems using the NXP i.MX8M Plus processor need to use a multi-camera setup. However, the processor doesn’t support simultaneous streaming of high-bandwidth data. Jump right into the article to learn an out-of-the-box technique e-con Systems’ engineering team came up with to solve this challenge....