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Autonomous Mobile RobotsCamera ApplicationsTechnology Deep Dive

How Multi-Sensor Fusion of Camera, LiDAR, and IMU Drives Reliable AMR Operation

Suresh Madhu
by Suresh Madhu
AMR solutions can automate up to 80% of non-conveyed material movement and reduce inventory needs by up to 30%. Gains like that depend on perception that stays reliable during real material handling. However, reliable AMR operation depends on what the robot can confirm while the material is already moving. Route......
Camera ApplicationsSmart Traffic

Beyond the Number Plate: Validating Transactions in Free-Flow Tolling

Dilip Kumar
by Dilip Kumar
In the first blog of this three-part series, you saw why camera design matters in ORT and MLFF. You also found out how the field of view, pixel density, shutter choice, exposure control, synchronization, and more determine whether a vehicle image remains readable when traffic passes at highway speed. A......
Camera ApplicationsDrones

How Camera Selection Impacts the Inspection & Monitoring Accuracy of Industrial Drones

Ram Prasad
by Ram Prasad
Industrial drones now handle inspection, monitoring, and audit tasks across plants, refineries, energy assets, yards, mining sites, construction zones, and utility corridors. Their value depends on the quality of the visual evidence they return, which means the camera must see enough detail for a human reviewer or an AI model......
Autonomous Mobile RobotsCamera Applications

Camera Reliability in ASRS: Why a Single Point of Failure Can Slow Down the Entire System

Suresh Madhu
by Suresh Madhu
In ASRS, any camera failure rarely appears as an obviously visible hardware issue. Instead, it shows up inside the automation flow, where the control system needs visual confidence before clearing the next movement, handoff, placement, or recovery step. The camera may be a small part of the machine, but the......
3D Depth CamerasOur Product InsightsTechnology Deep DiveTime-of-Flight (ToF)

Robotics Development Just Got Faster & Smarter: e-con Systems’ iToF 3D Camera Comes to NVIDIA Isaac Sim

Arun Asokan
by Arun Asokan
Every robotics project that depends on 3D perception starts with the same high-stakes questions: How many cameras are required? Where should they be mounted? Traditionally, answering these questions has meant procuring hardware, building test rigs, and iterating slowly. This can consume weeks of engineering effort before a single line of......
Camera ApplicationsSmart Surveillance

Vision Systems in Surveillance Drones: Why High Resolution and Global Shutter Matter

Ram Prasad
by Ram Prasad
A surveillance drone can reach the right place at the right time, yet the final image still has to carry enough detail for people and software to understand what happened. While surveillance drones have changed how teams inspect large sites, monitor public spaces, and more, their ability to help make......
Technology Deep DiveTime-of-Flight (ToF)

How e-con Systems Delivered a Complete RGB-D Vision Solution for a Physical AI Robotics Leader

Prabu Kumar
by Prabu Kumar
Physical AI is moving fast from lab demos to production floors, but it only works if robots can perceive the world with human-like precision. For a robotic arm picking thousands of unique objects an hour, depth perception is measured in millimeters. And so, even a few millimeters of error can...
Our Product InsightsPlatform Cameras

DriverDeck: Quick Camera Driver Integration for NVIDIA Jetson Development Kits

Prabu Kumar
by Prabu Kumar
Manual camera driver integration can be time-consuming and error-prone. This blog explores how DriverDeck streamlines driver deployment, automates camera validation, eliminates repetitive manual tasks, and helps developers accelerate embedded vision application development on NVIDIA Jetson platforms....
Our Product InsightsTechnology Deep DiveUSB Cameras

A Developer’s Guide to USB Camera Streaming on Linux Using Open-Source Command-Line Tools

Prabu Kumar
by Prabu Kumar
Streaming from a camera on Linux is a  common requirement, especially for developers building embedded vision applications. In many cases, proprietary software solutions add licensing costs and limit flexibility, making it difficult to customize workflows for specific applications. To overcome these challenges, we will demonstrate how to leverage popular open-source......