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Empowering Drones with e-con Systems’ Multi-Camera Solution and Qualcomm RB5 Kit

Suresh Madhu
by Suresh Madhu03126
Drones have gained immense popularity across various industries, ranging from agriculture and surveillance to delivery. A powerful and efficient processing solution is essential to meet
Sensor and ISPTechnology Deep Dive

Everything you need to know about split-pixel HDR technology

Prabu Kumar
by Prabu Kumar010894
Split-pixel HDR technology is a game-changer in embedded vision, allowing camera systems to capture a broader range of brightness levels for more vibrant and true-to-life
Autonomous Mobile RobotsCamera Applications

How e-con’s multi-camera system with the Qualcomm QRB5165 powers robotic applications

Suresh Madhu
by Suresh Madhu03346
Perception and awareness are integral to robotic applications, which is why multi-camera systems integrated with the Qualcomm Robotics RB5 Development Kit can be a game-changer.
Camera ApplicationsLife Sciences

Manual microscopes vs. AI-based automated digital microscopes: An in-depth look

Balaji S
by Balaji S03482
In this blog, let’s explore the advantages and disadvantages of manual and automated microscopy and examine how AI-based embedded vision technologies are changing the medical
Camera ApplicationsLife Sciences

What is a flow cytometer and how does it work?

Balaji S
by Balaji S04732
Embedded vision technology plays an important role in flow cytometers. They enable the acquisition, analysis, and interpretation of large amounts of cellular data in real
How toOur Product Insights

Unleashing the Power: A Guide to Model Inference and Visualizing Output with EdgeECAM50_USB

Suresh Madhu
by Suresh Madhu02631
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
How toOur Product Insights

Bring your own Model (BYOM) and deploy it with EdgeECAM50_USB

Suresh Madhu
by Suresh Madhu02448
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