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What Is MCU-Based Power Management – and Why Does Your Vision System Need It?
by Prabu Kumar
Power management is core to the reliability of autonomous vehicles and sophisticated mobility applications, which require instant wake-up (within milliseconds). This has led to the
How to Overcome Vision Challenges While Building a Multi-Robot Mapping System (Part 2)
by Arun Asokan
In part 1 of this series, you explored why multi-robot autonomous mapping is becoming essential for large-scale facilities and what the core components of a
How e-con Systems Delivered an Edge AI ALPR System for Fixed and Mobile Traffic Enforcement
by Dilip Kumar
In traffic enforcement, every violation that goes undetected is a missed opportunity to improve road safety. But for Intelligent Transportation System (ITS) deployments, reliable license
What Makes Darsi Pro a Perfect Unified AI Vision Box for Delivery Robots?
by Prabu Kumar
Delivery robots are increasingly expected to operate across public sidewalks, campuses, residential zones, and mixed urban routes. With deployments moving past pilot phases, vision reliability
What Are the 5 Key Features of 3D iToF Cameras – And How Does DepthVista Helix Offer Them?
by Prabu Kumar
In an era where spatial awareness and depth perception are becoming crucial, 3D imaging technology has become more popular than ever. This has resulted in
Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)
by Arun Asokan
For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this
e-con Systems Launches DepthVista Helix 3D iToF Camera for Accurate Depth Sensing in Robotics and Smart Automation
by Prabu Kumar
Introducing DepthVista Helix, the next-generation 3D Continuous Wave (CW) indirect Time-of-Flight (iToF) camera from e-con Systems® designed to deliver highly accurate and reliable depth perception
Lattice FPGA–Based Holoscan Cameras on NVIDIA AGX Thor & Orin for Scalable Multi-Sensor Edge AI Systems
by Prabu Kumar
Present-day edge AI systems rely heavily on multi-modal sensor fusion, such as camera, LiDAR, and Radar, to enable accurate, real-time decision-making. Existing platforms, such as