No. 1 Solution for automating your manual visual inspections
25%
visual inspection errors
in manufacturing take one
of two forms, missing an existing defect or incorrectly identifying a defect that does
not exist.
Making jobs more
challenging and fun!
BUSINESS IMPACT
- Extract your worker’s knowledge and experience into a computerized model and set new higher quality standards.
- Boost productivity due to efficient, accurate, consistent and transparent evaluation of your product quality.
- Innovate with data, process visibility enables you drive further improvements.
HOW TO APPLY COMPUTER VISION
Computer Vision based on Artificial Intelligence allows you to extract data from images and/or videos. You can classify, localize, detect and segment objects from this content and evaluate/quantify the level of severity based on your “business rules”.
AI adds new capabilities to computer vision by evaluating multiple criteria. In most cases this means automating manual visual inspection executed by trained people to safeguard quality standards across the entire supply chain.
USE-CASES AND INDUSTRIES
Computer vision can be applied in almost every industry and new use-cases are obtained every day. The technology is similar each time, which enables us to turbo-boost the implementation of your use-case. Check out where digitalNXT Vision is already applied.
TYPICAL CHALLENGES AND POTENTIAL BUSINESS VALUE
Despite the variety of industries, the challenges among our customers are similar. Pushing them to rethink current processes with new technologies. Complex quality evaluations are done by people. These repetitive tasks are boring, time consuming and mentally heavy with inconsistent results among the team as an outcome. Qualified people are scarce aswell as the increased pressure on knowledge retention within your company. Attracting new talent who are willing to do such work is impossible.
Automating manual visual inspections will generate valuable data and boosts:
LEVERAGE PRODUCTS AND EXPERIENCE
Focus! That is how you make the difference. OrangeNXT provides out-of-the-box solutions to accelerate customers in their digital transformation.
digitalNXT Vision is one of our AI products which provides customers intelligent edge cameras, cloud processing pipeline and a self-service portal to evaluate and improve your models.
digitalNXT Smart Industrial Cameras are running AI models to process images on the edge for real-time decision making.
The digitalNXT Vision core runs in the MSFT Azure Cloud. Models are trained and runned in clusters.
The digitalNXT Portal provides insights in model performance and results. Results can be shared with your business Apps via API’s.
OUR FOUR STEP APPROACH
STEP 1
Start with an online acquaintance to get to know each other.
STEP 2
Your 1-day use-case assessment workshop where we challenge the technical and financial feasibility.
STEP 3
Start your Proof of Value to validate the business case and collect feedback.
STEP 4
Develop your Minimum Viable Product (MVP) and rollout the product to multiple sites to leverage the benefits.
Potato potential
Averis, part of Royal Avebe, is one of the launching customers of our digitalNXT Vision Solution. Creating the feedback loop to continuously monitor and improve the model output was crucial to their process of introducing new potato varieties.
Averis Seeds B.V. was founded as a 100 % daughter from Avebe. The company focus mainly on the development, multiplication and trade of starch potatoes. Averis Seeds aims for potato varieties with high yield, high starch and protein content and a broad set of resistance and embraces new technologies to support this process. Consistently and accurately assessing the quality over time enables Averis in making data-driven decisions and increases the number of successful introductions of new potato varieties to make their farmers happy!
Automatically recognizing asphalt damage
We developed a self-learning image-recognition algorithm for construction firm BAM, which enables fully automatic identification and labelling of asphalt damage based on video images.
Inspections previously carried out by highly skilled staff who spent all day analysing video images, has now become a fully automated process, and a second opinion is now only required in the event of doubt. BAM can make sure these people are assigned more important duties that are more in line with their skills.
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