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Camera ApplicationsSmart Surveillance

What is the Role of Embedded Vision Technology in Counter-UAS Systems?

Ram Prasad
by Ram Prasad
During the 2026 FIFA World Cup, authorities reportedly seized over 700 unauthorized drones in restricted airspace, highlighting the challenge of monitoring airspace around major public events. Airports and critical infrastructure facilities face similar concerns, where unauthorized drone activity can pose safety and operational risks. Detecting an aerial object is only......
Camera ApplicationsMobility

Why Robotic Safety Controllers Must Operate Independently of the Vision Compute Platform

Suresh Madhu
by Suresh Madhu
The recognition of a person by the robot helps to form a more complete understanding of the situation. Although the machine still requires knowledge of the person’s distance and speed as well as its own movement, combining these observations provides the planner with a tracked state against which to base......
OpticsSensor and ISPTechnology Deep Dive

Active Alignment vs Passive Alignment: Which Lens Assembly Method Is Right for Your Vision System?

Prabu Kumar
by Prabu Kumar
Nowadays, advanced embedded cameras output image data for safety-critical algorithms such as lane detection, pedestrian recognition, and traffic sign recognition in embedded applications for autonomous decision-making. These algorithms assume the image data obtained is geometrically and optically consistent across the entire field of view. Inconsistent image quality can reduce the......
3D Depth CamerasOur Product InsightsTechnology Deep Dive

How Active Stereo 3D Vision Supports Reliable Perception in AMRs and ASRS

Prabu Kumar
by Prabu Kumar
Autonomous mobile robots, AGVs and automated storage and retrieval systems depend on 3D perception while moving through indoor spaces where routes, obstacles and nearby objects can change continuously. Navigation, spatial mapping and obstacle detection rely on depth data that remains consistent as the platform moves and the scene changes around......
Camera Applications

Why Changing a Robotic Camera Late Can Trigger a Full System Redesign

Suresh Madhu
by Suresh Madhu
A robotic camera choice goes far past the module mounted on the machine. Its lens, sensor, image signal processor and interface establish the visual data that enters perception software. They also influence the electrical route to the compute platform and the spatial relationship between the camera and every other sensor.......
OpticsTechnology Deep Dive

Active Alignment in Embedded Cameras: What It Is, Why It Matters, and Where It’s Used

Prabu Kumar
by Prabu Kumar
In the world of embedded camera manufacturing, achieving precise alignment between the lens and sensor is crucial for delivering exceptional image quality. The traditional passive alignment methods have limitations, leading to inconsistencies and challenges in focus and image sharpness. However, with the advent of Active Alignment (AA) technology, a ground-breaking......
Camera ApplicationsSmart Traffic

Solar-Powered ALPR Cameras: What It Takes to Bring Vehicle Intelligence Off the Grid

Dilip Kumar
by Dilip Kumar
Automatic License Plate Recognition (ALPR) systems improve security, streamline access control, and enable traffic monitoring and vehicle identification. However, deploying ALPR cameras in locations without readily available power or network connectivity can be expensive, time-consuming, and operationally complex. Solar-powered ALPR cameras offer a practical alternative by combining low-power imaging, edge......
Technology Deep Dive

How to enable Multi-Sensor Synchronization on NVIDIA Jetson Orin using Hardware Timestamping

Prabu Kumar
by Prabu Kumar
Embedded vision systems rely on data from multiple sensors, including cameras, LiDAR, and IMUs, to accurately perceive their surroundings. For reliable sensor fusion, all sensor data must be precisely synchronized. However, conventional software timestamps are affected by system-level delays, making accurate time alignment difficult. Hardware timestamping addresses this challenge by......
3D Depth CamerasAutonomous Mobile RobotsCamera ApplicationsOur Product InsightsTime-of-Flight (ToF)

How e-con Systems enables Reliable Low-Level Obstacle Detection in AMRs with a 3D CW-iToF Camera – DepthVista Helix

Suresh Madhu
by Suresh Madhu
It’s common knowledge that Autonomous Mobile Robots (AMRs) usually navigate confidently until something small gets in the way. For instance, pallets, pipes, toolboxes, and loose packages can be found below the scanning plane of a 2D LiDAR yet remain invisible to the navigation stack until the robot reaches them. e-con......