Camera Applications Archives - Page 4 of 26

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

Ranjith KumarApril 10, 20260

Ranjith KumarRanjith is a camera solution architect with over 16 years of experience in embedded product development, electronics design, and product solutioning. In e-con Systems, he has been responsible for building 100+ vision solutions for customers spanning multiple areas within retail including self service kiosks, access control systems, smart checkouts...

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

Prabu KumarApril 10, 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....

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

Arun AsokanApril 15, 20260

Arun AsokanArun is a seasoned Embedded Vision leader with 11+ years of experience driving innovation in robotics and AI-powered imaging systems. He focuses on developing perception stacks that power intelligent robotic systems, bridging hardware, algorithms, and edge deployment.

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

Prabu KumarApril 10, 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.

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

Ranjith KumarFebruary 9, 20260

A biometric eGate has very little room for error when it comes to embedded vision performance. A traveler pauses briefly, looks ahead, and moves on. During that short interaction, cameras must capture a face, assess depth, monitor behavior, and scan documents, all while lighting shifts and foot traffic keeps flowing....

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

Ram PrasadFebruary 5, 20260

Burn injuries at work can frequently be traced back to routine conditions that are in place longer than they should be. Hot zones remain exposed during changeovers. Chemical handling areas run with small leaks or residue. Temporary wiring and open panels persist during maintenance windows. The risk is in plain...

What are the Certifications required by Intelligent Transportation Systems?

Dilip KumarJuly 1, 20260

Camera-based Intelligent Transportation Systems (ITS) cannot operate in isolation. Roadside cameras, controllers, sensors, and compute units must function within strict engineering, safety, and procurement frameworks to be deployed in public infrastructure. Therefore, compliance remains a top priority. Without it, no traffic enforcement system, smart signal controller, or edge camera can...

How Multi-Sensor Vision Powers Biometric eGates for Modern Border Control

Ranjith KumarFebruary 2, 20260

Biometric eGates form a key part of the automated border and transit infrastructure. Airports, seaports, and high-traffic land crossings use these systems to process rising passenger volumes while meeting identity verification and operational targets. Every eGate uses multiple vision inputs that operate together within a tightly timed interaction. Facial cameras...

How Edge AI Cameras Help Public Surveillance Systems Reduce Compliance Risks

Ram PrasadJanuary 28, 20260

As public surveillance expands across cities, the tension between operational monitoring and strict data privacy regulations intensifies. Legacy systems that stream raw video to central servers create significant compliance exposure around personal data collection and evidentiary integrity. This blog explores how modern Edge AI cameras fundamentally shift this paradigm by

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)

Suresh MadhuMarch 2, 20260

Robotaxis operate in dense urban settings where lighting changes rapidly, motion stays constant, and perception runs continuously. Camera performance governs how lanes, signals, vehicles, cyclists, and pedestrians are readable. Hence, features such as HDR, low-light capture, global shutter, and more determine how reliably scenes get interpreted. In this blog, you’ll