Ranjith Kumar, Author at e-con Systems

How to Select the Best Camera Interface to Boost Retail Success

Ranjith KumarOctober 15, 20250

Interface choice shapes bandwidth, reach, latency, and host support, which directly influences vision performance in-store. For instance, USB 3.1 accelerates kiosk-grade deployments with short runs and broad OS support. And MIPI CSI-2 shines in tightly integrated edge devices. The right pick removes bottlenecks and simplifies rollout across formats and locations.

How Embedded Vision Is Helping Modernize and Future-Proof Retail Operations

Ranjith KumarOctober 7, 20250

Physical stores are evolving into responsive environments where cameras turn shelves, kiosks, and checkouts into real-time data sources. Vision systems now handle product recognition, price checks, plan-o-gram compliance, and loss prevention while improving queue flow and in-store engagement. In this blog, you’ll get a preview of what our latest white

How High-Resolution Cameras Power Smarter In-Store Retail Decisions

Ranjith KumarSeptember 25, 20250

High-resolution cameras are reshaping in-store retail analytics by capturing granular details needed for inventory tracking, promotion validation, and customer behavior insights. Integrating sensors like the AR2020 empowers retailers to gain expansive coverage with pixel density that enables barcode decoding, OCR, and shelf-level analysis even under low light. Explore in-store analytics

Why Camera Selection is Extremely Critical in Lottery Redemption Terminals

Ranjith KumarSeptember 18, 20250

Lottery redemption terminals have become the frontline for fraud detection, regulatory compliance, and customer trust. Cameras determine how smoothly these systems operate by validating authenticity, detecting tampering, and creating audit-grade records. With advanced imaging features, such as like high resolution, multispectral lighting, HDR, and modular integration, lottery terminals achieve fast,

What Are the Camera Features Your Retail Application Needs for Facial Recognition?

Ranjith KumarJuly 8, 20250

Cameras used for facial recognition play a crucial role in ensuring that retail spaces are getting smarter. Deploying the right camera, though, is easier said than done. Learn about the real impact of facial recognition in retail systems and their must-have imaging features.

Robot-Based Shelf Monitoring Cameras for Retail Operation Efficiency

Ranjith KumarMay 7, 20250

Robot-based shelf monitoring systems integrate camera systems with autonomous robotics. It helps ensure seamless inventory tracking, planogram compliance, and shelf organization. Discover how these camera-based systems work and their must-have imaging features.

How vision-based shelf monitoring helps retailers

Ranjith KumarApr 11, 20250

Shelf monitoring systems are critical for maintaining stock levels, improving product availability, and helping display correct promotions and pricing. Learn how these systems are used in real-world scenarios and how to choose the right set of camera features.

The Role of Golf Swing Analysis Cameras in Golf Simulator System

Ranjith KumarDecember 27, 20240

Golf simulator and golf swing analysis cameras are designed for detailed and immersive analysis of the golf game. These cameras are used to track the ball’s motion, trajectory, spin rate, and speed after impact to simulate realistic gameplay. Read the blog to understand the key differences between golf simulator cameras

The Ultimate Guide to Golf Simulator Cameras: Enhancing Your Indoor Golf Experience

Ranjith KumarNovember 29, 20240

Indoor simulators must capture the nuanced motions of a golf swing to help players fine-tune their swings across weather conditions. The right imaging solution makes all the difference. Learn about the different types of cameras used and the selection process for finding the best camera.

5 Key Features to Look for in RGB-IR Cameras for Biometric Systems

Ranjith KumarMay 7, 20250

Selecting the right camera for biometric systems is crucial to ensuring accurate and consistent image capture for applications like facial recognition, iris scanning, and access control. RGB-IR cameras have emerged as a game-changer by capturing both visible and infrared light on a single sensor, eliminating the need for mechanical IR