Summary
In the automotive industry, quality is the key differentiating factor. Scraps and defects represent a major risk to performance
and competitiveness, leading to very high costs. Besides, there is no specific solution in the market for the automatic quality
control of defects in plastic injection and painting defects, forcing manufacturers to maintain primitive techniques based on
human vision, that can be time-consuming and costly.
By applying Artificial Intelligence (AI) to visual inspections, organisations can identify defects by matching patterns to images
that were previously analysed and classified. They could be detected up to 90% more accurately than humans. In addition,
reduction of personnel costs, rework, and scrap yields a total cost reduction of approximately 9% (~ €26 billion). A new
market report from Market&Market claims that automotive AI will reach €9.37 billion by 2025, at a CAGR of 38.46%.
TECHEYE® is an innovative solution offering a fully automated directional vision system coupled with a self-calibration
lighting unit, based on Neural Networks. It comprises suitable hardware for images acquisition, a communications system
and software for image processing and analysis.
Our algorithms can automate visual inspection activities, even under complex conditions like variable position, orientation of
units or tough lighting conditions. TECHEYE® is able to classify injection faults: gusts, ampoules, pores and scratches.
We offer an affordable web service, user-friendly as plug and play, enabling defect classification. TECHEYE® can be really
suitable for automotive OEMs and plastic injection companies to enhance their production lines, the quality assurance and
cost reduction.
INOVALABS is a technical consulting company founded in 2004 in Vigo (Spain), providing services related to the definition
of innovation and competitiveness strategies, and design of R&D projects. TECHEYE® will boost the company revenues
streams over a new market niche
and competitiveness, leading to very high costs. Besides, there is no specific solution in the market for the automatic quality
control of defects in plastic injection and painting defects, forcing manufacturers to maintain primitive techniques based on
human vision, that can be time-consuming and costly.
By applying Artificial Intelligence (AI) to visual inspections, organisations can identify defects by matching patterns to images
that were previously analysed and classified. They could be detected up to 90% more accurately than humans. In addition,
reduction of personnel costs, rework, and scrap yields a total cost reduction of approximately 9% (~ €26 billion). A new
market report from Market&Market claims that automotive AI will reach €9.37 billion by 2025, at a CAGR of 38.46%.
TECHEYE® is an innovative solution offering a fully automated directional vision system coupled with a self-calibration
lighting unit, based on Neural Networks. It comprises suitable hardware for images acquisition, a communications system
and software for image processing and analysis.
Our algorithms can automate visual inspection activities, even under complex conditions like variable position, orientation of
units or tough lighting conditions. TECHEYE® is able to classify injection faults: gusts, ampoules, pores and scratches.
We offer an affordable web service, user-friendly as plug and play, enabling defect classification. TECHEYE® can be really
suitable for automotive OEMs and plastic injection companies to enhance their production lines, the quality assurance and
cost reduction.
INOVALABS is a technical consulting company founded in 2004 in Vigo (Spain), providing services related to the definition
of innovation and competitiveness strategies, and design of R&D projects. TECHEYE® will boost the company revenues
streams over a new market niche
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/889409 |
| Start date: | 01-12-2019 |
| End date: | 31-03-2020 |
| Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
In the automotive industry, quality is the key differentiating factor. Scraps and defects represent a major risk to performanceand competitiveness, leading to very high costs. Besides, there is no specific solution in the market for the automatic quality
control of defects in plastic injection and painting defects, forcing manufacturers to maintain primitive techniques based on
human vision, that can be time-consuming and costly.
By applying Artificial Intelligence (AI) to visual inspections, organisations can identify defects by matching patterns to images
that were previously analysed and classified. They could be detected up to 90% more accurately than humans. In addition,
reduction of personnel costs, rework, and scrap yields a total cost reduction of approximately 9% (~ €26 billion). A new
market report from Market&Market claims that automotive AI will reach €9.37 billion by 2025, at a CAGR of 38.46%.
TECHEYE® is an innovative solution offering a fully automated directional vision system coupled with a self-calibration
lighting unit, based on Neural Networks. It comprises suitable hardware for images acquisition, a communications system
and software for image processing and analysis.
Our algorithms can automate visual inspection activities, even under complex conditions like variable position, orientation of
units or tough lighting conditions. TECHEYE® is able to classify injection faults: gusts, ampoules, pores and scratches.
We offer an affordable web service, user-friendly as plug and play, enabling defect classification. TECHEYE® can be really
suitable for automotive OEMs and plastic injection companies to enhance their production lines, the quality assurance and
cost reduction.
INOVALABS is a technical consulting company founded in 2004 in Vigo (Spain), providing services related to the definition
of innovation and competitiveness strategies, and design of R&D projects. TECHEYE® will boost the company revenues
streams over a new market niche
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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