Edge Learning Basics
Edge learning is a subset of artificial intelligence (AI) in which processing takes place on-device, or “at the edge” of where the data originates, using a pre-trained set of algorithms. The technology is simple to setup, requiring less time and fewer images for training compared to other AI-based solutions, like deep learning.
• Subset of artificial intelligence (AI)
• Processes images “at the edge”
• Extremely easy-to-use
• Solves a wide range of applications across all industries
Edge learning is the answer for both engineers looking for an easy way to integrate automation into their lines and for expert automation engineers who regularly use rule-based machine vision tools but lack specific AI or deep learning expertise. This makes the technology a viable solution for all—from machine vision beginners to experts – to solve a range of applications across the factory and across industries.
The power of AI can be applied to problems in factory automation by embedding knowledge of application requirements into the neural network connections from the start. This pre-training removes a lot of the computational load, particularly when supported by traditional machine vision tools. The end result is edge learning.
- Learns by example from images labelled as good/bad
- Leverages pre-trained algorithms based on structural patterns
- Results in less programming-intensive deployment
Edge learning can be trained in minutes, using as few as five to ten images. Compare this to deep learning-based solutions, which can require hours to days of training, using hundreds to thousands of images. By streamlining deployment, edge learning enables manufacturers to ramp quickly, while remaining nimble and able to adjust easily to changes.
Acrovision OCR Applications
1.
24 laser etched dot code characters on reflective foil read at high speed (500 parts per minute)
2.
Validating hot stamp codes on lipstick labels.
Demonstrates how Edge Learning OCR is tackling applications traditional OCR tools cannot solve.
3.
Validating dot peen product codes on exhaust systems.
For more information about how edge learning can help with your application, take a look at our Edge Learning solution page here.
