Recent Posts - e-con Systems

What Is MCU-Based Power Management – and Why Does Your Vision System Need It?

Prabu KumarFeb 27, 20260

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 utmost need for an energy-efficient, intelligent vision solution. e-con Systems offers Darsi Pro, an edge AI vision box that incorporates a dedicated Micro Controller Unit

How to Overcome Vision Challenges While Building a Multi-Robot Mapping System (Part 2)

Arun AsokanMarch 2, 20260

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 modern multi-robot mapping system are. But knowing what a system should do is only half the story. The real questions shake things up real fast....

How e-con Systems Delivered an Edge AI ALPR System for Fixed and Mobile Traffic Enforcement

Dilip KumarFeb 27, 20260

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 plate capture at highway speeds remains a formidable challenge. Real-world conditions throw everything at these systems, such as high-speed motion blur, inconsistent plate formats across...

Depth-Assisted Facial Anti-Spoofing: How DepthVista Helix Enables Reliable Liveness Detection

Prabu KumarMarch 3, 20260

What Makes Darsi Pro a Perfect Unified AI Vision Box for Delivery Robots?

Prabu KumarFeb 25, 20260

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 becomes a deciding factor for safety, uptime, and route consistency. Furthermore, outdoor exposure, repeated stop-start motion, and pedestrian interaction place higher demands on perception hardware....

What Are the 5 Key Features of 3D iToF Cameras – And How Does DepthVista Helix Offer Them?

Prabu KumarFeb 20, 20260

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 Time-of-Flight (iToF) cameras, an advanced imaging solution, changing how machines perceive and interact with the world around them. Unlike traditional 2D cameras that capture only...

Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)

Arun AsokanMarch 2, 20260

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 approach is linear, which clashes with the fact that facilities are becoming larger and the demand for up-to-date digital twins has intensified. It means that...

e-con Systems Launches DepthVista Helix 3D iToF Camera for Accurate Depth Sensing in Robotics and Smart Automation

Prabu KumarFebruary 18, 20260

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 for robotics and smart automation. Explore its key features and applications.

Lattice FPGA–Based Holoscan Cameras on NVIDIA AGX Thor & Orin for Scalable Multi-Sensor Edge AI Systems

Prabu KumarFebruary 13, 20260

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 NVIDIA Jetson Orin NX, are equipped to adequately support multi-camera use cases. To advance this further, NVIDIA’s latest Jetson Thor series modules have been combined

A Detailed Guide to Confidence Filtering in Indirect Time of Flight Cameras

Prabu KumarFebruary 17, 20260

Indirect Time-of-Flight (iToF) sensors are among the most widely used 3D camera technologies for depth estimation. However, noisy depth measurements can limit their ability to deliver reliable, high-quality depth data. Applying appropriate filtering techniques helps improve accuracy by suppressing noisy pixels and enhancing depth reliability.