Developer Resources
contact usContact Us
LoginLogin / Register
3D Depth CamerasOur Product InsightsTechnology Deep DiveTime-of-Flight (ToF)

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

Prabu Kumar
by Prabu Kumar
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....
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......
Edge AI Vision KitsOur Product Insights

How e-con Systems’ Edge AI Vision Box Helps Mobility Applications Overcome Major Challenges

Prabu Kumar
by Prabu Kumar
Modern mobility platforms face constant movement, changing lighting, long operation cycles, and heavy perception workloads. A unified Edge AI vision box brings camera integration, sensor fusion, and AI processing into one system. These vision boxes also simplify deployment, upgrades, and fleet management. In this blog, you’ll find out why mobility...
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...
Sensor and ISPTechnology Deep Dive

Clear HDR vs DOL HDR: Which HDR Technology is Right for Your Application?

Prabu Kumar
by Prabu Kumar
Embedded vision applications require the camera image sensor to capture a clear image under challenging illumination conditions, with no motion artifacts. The Sony STARVIS 2 image sensor family will meet this requirement by supporting advanced HDR modes, including clear HDR and DOL HDR, enabling high-end embedded vision cameras to deliver...
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,...