Recent Posts - Page 3 of 55

Why e-con Systems is expanding beyond Cameras into AI Vision Boxes

Prabu KumarJanuary 8, 20260

As robotics and mobility projects expand, teams are struggling with scattered components, driver work, and long integration cycles. Fully integrated AI vision boxes have risen as the ultimate solution, combining edge compute power, multi-camera inputs, and sensor pathways in one rugged unit. e-con Systems’ Darsi Pro is an AI vision

Proactive Road Safety: Detecting Near-Miss Incidents with AI Vision

Dilip KumarDecember 11, 20250

Road networks are under pressure as traffic grows and junctions stretch human awareness. Near-miss analytics step in with real-time insight, turning close calls into measurable indicators of where risk concentrates. This moves safety planning from delayed crash reports to forward-looking intelligence across intersections and expressways. AI vision gives cities a

How Edge AI Cameras Enhance Risk Management and Yield Recovery in Precision Farming

Ram PrasadDecember 10, 20250

Edge AI cameras give farming teams a steady flow of field visuals that expose leaf color shifts, canopy gaps, soil texture changes, moisture imbalance, and early pest traces long before manual scouting can catch them. Continuous imaging also helps crews understand how growth changed through each stage, which zones began

e-con Systems to Launch Darsi Pro, an NVIDIA Jetson-Powered AI Compute Box for Advanced Vision Applications at CES 2026

Prabu KumarDecember 18, 20250

This blog offers expert insights into Darsi Pro, how it delivers a unified vision solution, and what it brings to alleviate modern workloads. Darsi Pro comes with GMSL camera options, rugged design, OTA support, and more. It delivers powerful AI performance for seamlessly enabling mobility and ITS use cases in

How Intelligent Cameras Help Monitor Public Transport and Emergency Lanes

Dilip KumarDecember 5, 20250

Dedicated lanes for buses and emergency vehicles face growing misuse as cities struggle with congestion. Vision systems help supervisors track lane activity with real-time proof, vehicle classification, and automated alerts. These systems also link to larger ITS platforms that handle logging, escalation, and time-based enforcement. This blog shows you how

Why PPE Non-Compliance Is a Hidden Risk – and How Smart Cameras Can Fix It

Ram PrasadDecember 5, 20250

Industrial floors shift constantly as lighting, movement, and workloads change throughout the day. These shifts make manual PPE checks unreliable across aisles, platforms, and machinery zones. Smart cameras study posture, visibility, and motion to spot missing helmets, vests, gloves, or boots in real time. In this blog, you'll get expert

What is a dust denoising filter in TOF camera, and how does it remove noise artifacts in vision systems?

Prabu KumarDecember 11, 20250

Time-of-Flight (ToF) cameras with IR sensors are susceptible to performance variations caused by environmental dust. This dust can create 'dust noise' in the output depth map, directly impacting camera accuracy and, consequently, the reliability of critical embedded vision applications.

Slips, Trips & Falls How Smart Cameras Can Prevent These Critical Workplace Hazards

Ram PrasadDecember 10, 20250

Workplace slips, trips, and falls keep rising across factory floors, warehouses, service corridors, and public zones where hazards appear suddenly, and inspection cycles miss fast-forming threats. Smart cameras remove these blind spots by spotting spills, clutter, damaged flooring, cables, posture loss, and immobility the moment they surface in frame. They

What is The Role of Embedded Cameras at Different Levels of Autonomous Driving?

Suresh MadhuNovember 21, 20250

Autonomous driving depends on vision that can keep up with moving traffic, variable light, and decisions that change within seconds. Embedded cameras supply the visual detail needed for lane detection, sign interpretation, hazard tracking, close-range maneuvering, and interior vigilance. As automation rises, imaging has to deliver higher resolution, stronger HDR

How AI-Based Surveillance Systems Use Cameras to Safeguard Critical Infrastructure

Ram PrasadNov 21, 20250

Critical infrastructure relies on steady oversight across power yards, transit corridors, and port terminals, so imaging workflows must capture movement clearly and supply usable signals for control rooms. Vast outdoor spans, unpredictable light, constant motion, and high data volume push cameras to sustain strong brightness handling, stable frame output, and

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

What to Look for in Cameras for Biometric eGates: Key Imaging Features to Know

What AI-Powered Vision Means for Workplace Burn Prevention in High-Risk Industries

Why e-con Systems is expanding beyond Cameras into AI Vision Boxes

Proactive Road Safety: Detecting Near-Miss Incidents with AI Vision

How Edge AI Cameras Enhance Risk Management and Yield Recovery in Precision Farming

e-con Systems to Launch Darsi Pro, an NVIDIA Jetson-Powered AI Compute Box for Advanced Vision Applications at CES 2026

How Intelligent Cameras Help Monitor Public Transport and Emergency Lanes

Why PPE Non-Compliance Is a Hidden Risk – and How Smart Cameras Can Fix It

What is a dust denoising filter in TOF camera, and how does it remove noise artifacts in vision systems?

Slips, Trips & Falls How Smart Cameras Can Prevent These Critical Workplace Hazards

What is The Role of Embedded Cameras at Different Levels of Autonomous Driving?

How AI-Based Surveillance Systems Use Cameras to Safeguard Critical Infrastructure