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Camera Applications

Get insights into how embedded cameras are revolutionizing various applications across the industrial, retail, and medical markets.

Autonomous Mobile RobotsCamera ApplicationsTechnology Deep Dive

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

Arun Asokan
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 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.......
Camera ApplicationsSmart Traffic

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

Dilip Kumar
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 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......
Autonomous Mobile RobotsCamera ApplicationsTechnology Deep Dive

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

Arun Asokan
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 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......
BiometricsCamera Applications

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

Ranjith Kumar
by Ranjith Kumar
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.......
Camera ApplicationsSmart Surveillance

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

Ram Prasad
by Ram Prasad
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......
Camera ApplicationsSmart Traffic

What are the Certifications required by Intelligent Transportation Systems?

Dilip Kumar
by Dilip Kumar
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......
BiometricsCamera Applications

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

Ranjith Kumar
by Ranjith Kumar
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......
Camera ApplicationsSmart Surveillance

How Edge AI Cameras Help Public Surveillance Systems Reduce Compliance Risks

Ram Prasad
by Ram Prasad
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...
Camera ApplicationsMobility

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

Suresh Madhu
by Suresh Madhu
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...
Camera ApplicationsEdge AI Vision KitsMobility

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 1)

Suresh Madhu
by Suresh Madhu
ADAS-era vision systems handled short, supervised driving tasks with limited scene scope and intermittent operation. Robotaxi deployments replace that model with continuous, fleet-scale autonomy in dense urban settings, where cameras face constant motion and lighting swings. These conditions raise pressure on imaging consistency, synchronization, and data continuity. In this blog,...