Use Cases Visual Quality Detection

Visual Quality Detection

Visual Quality Detection refers to the use of vision for automatic inspection, process control and robot guidance in an industrial environment.

Quality assurance systems utilize RFID, sensors, video monitoring, remote information distribution and cloud solutions on the production line to streamline inspection procedures, improve decision making, and reduce costs driven by quality defects.

 

Read More
Preserving Security and Operator Safety
Preserving Security and Operator Safety
To improve customer satisfaction by minimizing downtime of automated optical inspection machines while preserving security and safety.
theThings.io Comparison To Other IoT Cloud Providers
Configuring a Sigfox device with several IoT platforms, we dive into the distinctions that distinguish theThings.io from large cloud providers like AWS, GCP, Azure, etc.
Diverse N Management Practices Generate Value to Farmers
Diverse N Management Practices Generate Value to Farmers
Shannon Gomes, owner of Cedar Basin Corp Consulting, has long been searching for a better way to monitor nitrogen (N) available and provide precise N recommendations. He has tried "all the different nitrogen management tools", with varying results, but has never been satisfied. He is looking for a real-time, location-specific adaptive N recommendation model that accounts for weather, management practices, and field variability.

The overall machine vision market is expected to grow from USD 8.12 billion in 2015 to USD 14.43 billion by 2022, at a CAGR of 8.15% between 2016 and 2022.

Source: Markets and Markets

 

Download PDF Version
test test