Artificial Intelligence (AI)

Deep learning that automates factory defect
inspection

Defect Inspection Factory Automation

Conventional Approach

When quality control fails the consequences can be damaging.
Potential fallout can include high-profile recalls, dissatisfied customers, customer loss and a tarnished reputation.
Automated imaging-based analysis using machine vision systems offer manufacturers a certain level of assurance in defect inspection as do manual reviews by trained and qualified inspectors. Yet these safeguards can be inconsistent with some anomalies too difficult to catch making quality failure possible.

Our Alternative Solution

NEC brings greater control to manufacturing defect inspection through its AI technology.

Automated visual inspection using NEC RAPID Machine Learning - the company's premier deep learning software - cuts inspection time by recognizing a wider variety of defects than conventional machine vision techniques. NEC RAPID Machine Learning also improves quality control consistency by reducing the need for manual inspections to lessen the possibility for human error. Additionally being able to detect defects on diverse surfaces, NEC RAPID Machine Learning is highly adaptive making it an ideal solution for a range of manufacturing industries.

White Paper

From possible applications and proofs of concept to an actual automotive case study, this white paper explores NEC's leadership in industrial visual inspection using deep learning IA.

Exploring Further

Simplified Visual Inspection

Feed image data will be used by NEC RAPID Machine Learning to create its defect inspection engine
which can be utilized by users to inspect defects automatically.

Image analysis requires a huge number of pictures of both good and defective products to be collected for learning by AI,
but collecting images of defective products is no easy matter in the precision manufacturing industry.

AI-based surface inspection algorithm called "One Class" is a new feature of RAPID machine learning that is extremely powerful
for manufacturing inspections. Manufacturers do not need to collect images of defective products.

The Positive Outcome
From AI Visual Inspection

This video examines the progress, applications and business impact of deep learning AI technology on automated visual inspection and defect detection.

The "One Class" Advantage

This video demonstrates how "One Class" enables defective products to be identified just by learning images of good products.

NEC RAPID Machine Learning's Core Deliverables


Dependable Intelligence
Ready access to reliable insight based on real-time information.


Improved Efficiency
The ability to make meaningful changes that deliver both time and cost savings.


Risk Mitigation
The capability to identify potential issues before they become detrimental situations.


Explore Sales Sheet

What Sets NEC Apart

30+ Years Of Experience In Machine Learning/Deep Learning Research

AN AIA Member
A member of AIA - The World's Largest Machine Vision Trade Association
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Questions?

Looking for an alternative way to improve quality control efficiency?

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