The Value of AI-Based Visual Inspection in 2020

For over a decade, manufacturers have turned to automated solutions to improve their bottom line. Automation and machine vision are now being augmented and even replaced by AI. Here is the value of AI-based visual inspection in 2020.
Value of AI-Based visual inspection
Being replaced by AI is especially true when it comes to visual inspection. The use of AI-based visual inspection technology is transforming manufacturing’s ability to improve business operations.
AI-based visual inspection relies on two of AI’s main strengths: computer vision and deep learning . Every AI system is built with the core capacity to perceive its environment (computer vision) and act on those perceptions (deep-learning).
As a result of deep-learning, AI adapts to a range of environments , making it useful across a multitude of industries. It has unlimited potential and can be developed rapidly to meet a manufacturer’s needs.
Concept of AI-based visual inspection
Well-trained human eyes can detect defects. A well-trained AI-based vision system can do the same — but with greater efficiency. Like a human eye, AI-based vision systems capture an image and send it to a central “brain” for processing.
Like a human brain, an AI “brain” makes detailed meaning from the image by contrasting it against its existing knowledge.
AI-based vision systems are made of two integrated components. A sensing device acts as an “eye,” while a deep learning algorithm acts as a “brain.” The integrated system successfully mimics the human eye-brain ability to interpret images.
AI-based vision systems are more efficient than human eyes because the AI “brain” stores greater amounts of information.
Robust computational power can parse through available data at rapid speeds. The system can classify objects in both photos and videos and perform complex visual perception tasks.
AI-based vision systems can search images and captions, detect objects, and classify multi-media.
Thanks to deep learning-based visual processing, AI-based visual inspection systems can perceive cosmetic flaws and detect defects across general or conceptual surfaces (mobidev dot biz).
Benefits of AI-based visual inspection
1. Fast Implementation
Decades-old automated systems depend on defect libraries, lists of exceptions and complicated filters. The time it takes to accrue this information, clean it for accuracy, and re-implement it decreases its efficacy. It also wastes labor.
AI and deep learning do not require prolonged programming or tediously lengthy algorithms. AI-based visual inspection systems might be constructed by several quality engineers and a dataset of training images. The system learns rapidly and is integrated over several weeks.
2. Improved Analytics and Quality Control
Manufacturers can use AI to document inspection results and to assess...