Textile World

Uster Fabric Vision 2: Developed To Assist Fabric Producers Transition From Manual To Automated Inspection – With The Same Staff

Fabric Vision 2 was developed to enable the smooth and simple transition from manual to automated inspection, with the confidence of knowing that the same knowledgeable staff are still a vital part of ...
Devdiscourse

Indian Railways Deploys AI, Drones and Smart Sensors to Boost Safety

One of the key innovations introduced is the Machine Vision Inspection System (MVIS), an AI and machine learning-based ...
IEEE

Digital Twin Enabled Automated Pin Defect Detection System for Aviation Electrical Connectors Using Structure-Aware Point Cloud

Abstract: Aviation electrical connectors are essential components in the aircraft electrical wiring interconnection system (EWIS), responsible for information and energy transmission. Even a minor ...
The Manila Times

eSmart Systems Launches AI Studio: A New Era of Custom Computer Vision for Grid Inspection and Beyond

Built on eSmart Systems’ patent-pending Adaptive AI, the new platform lets utilities and technology companies build, deploy, and scale custom AI models in minutes - without machine learning expertise ...
Odisha Diary

Indian Railways Deploys Advance AI & Machine Learning Devices to Enhance Safety and its Operational Efficiency by Adopting Smart Monitoring

Technological improvement in Indian Railways (IR) is a continuous process. Some major technologies deployed/piloted over IR are as follows: Machine Vision Inspection System (MVIS): MVIS is an ...
IEEE

Real-Time Fabric Defect Detection Using Machine Vision and Neural Networks

Abstract: Early detection of defects plays a very important part in controlling the quality of a manufactured product, particularly in mass production processes. Many imaging-based systems for fabric ...