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Applications

Proven QA Automation Solution Democratizing QA

ReliVision

ReliVision is hardware and image-modality agnostic and applicable across different use cases,
enabling quality automation and smart manufacturing without writing a single line of code.

All of our integrated setups come withGuaranteed

Detection
accuracy

24/7/365
shop floor availability

Same day
remote support

Process drift
prevention

Industrial Grade Applications

ReliVision uses machine learning to archive a high level of flexibility and scalability for computer vision systems.

Select an application

Electronics: Server Assembly


As part of its industry 4.0 transformation, our customer is implementing Relimetrics' AI accelerated machine vision technology at Foxconn to automate quality inspection of server assembly.

Our customer's portfolio of server products is highly complex and customized. The assembly of different server types must be inspected in-line near real time. This problem is well suited for Relimetrics' AI-based machine vision software.

For more details visit our insight.tech article.

Redefining QA Automation

Increases detection accuracy

99.9%+

Detection accuracy

Reduces assembly audit time

70%

30-40 seconds per assembly audit

Reduces final testing and rework

80%

Boosts performance

4.2σ

Guaranteed

ROI Impact

$500,000

Savings per line per year

Testimonial

"Relimetrics solution is embedded within our assembly line and enables immediate feedback to the operators and line managers to address any occurring issues right away. The fact that Reli-QA has no fatigue-induced errors and handles bespoke tolerances drove a 2% point increase in the initial pass rate. This is significant as it moved the performance from 2.1σ to 4.2σ."

Aerospace: Assembly Automation and Inspection

Lockheed Martin is working together with Relimetrics to automate aircraft manufacturing and assembly processes with Relimetrics' AI-based machine vision enabled robotics technology. ReliVision is improving manufacturing efficiency by making work-object identification and inspections easier, smarter and unprecedentedly more accurate.

Testimonial

Hunter Markussen

Application Engineer - Manufacturing Technology
Lockheed Martin Aeronautics

"Relimetrics is working with Lockheed Martin Aeronautics to develop AI-based machine vision enabled robotics for automating aircraft manufacturing and assembly processes. This innovation in automatic work-object identification allows the system to manage greater degrees of complexity than what is capable with traditional machine vision. Like Lockheed Martin’s other investments in advanced production technologies, the goal is speeding production and improving aircraft quality.”

Automotive: Seat Inspection

Our customer is a global Tier I supplier of car seats. Meeting OEM standards for aesthetic quality requires a thorough quality inspection before seats are shipped to be installed in vehicles. Improving quality audit standards and creating full traceability of quality are key goals of its digitization strategy.

Challenge

Today, quality inspections of car seats are done manually by operators, whose inspection is prone to error due to fatigue. Wrinkles and other car seat defects that are undetected or detected late lead to higher production costs due to rework and recalls.

There is high cost associated with each, and with increasing demand for quality, it is imperative for our customer to create full traceability of quality in its assembly to reduce costs and improve quality.

Solution

Relimetrics offers an industrial grade, shop floor ready system consisting of both hardware and software to digitize the quality of car seats.

Data acquired by the Relimetrics system are processed at the edge, providing evaluation of quality issues, such as wrinkles or other defects.

Relimetrics Impact

10s

Inspection time
for a whole seat

>99.9%

Probability of detection

20

# of defect
types detected

Automotive: End-of-Line Inspection

At e.GO Mobile, Relimetrics implemented a very intuitive, flexible and efficient solution to capture product quality issues with Relimetrics‘ AI-based machine vision software, ReliVision, in partnership with HPE and PTC.

Challenge

Quality inspections are becoming increasingly more complex in the automotive industry, given today’s accelerated production schedules and the proliferation of options and extras.

For an automotive OEM like e.GO, it is critical to adopt a quality digitization solution that is able to adapt to high production variability on the shop floor with high detection accuracy, and that does not rely on proprietary hardware enabling any industrial grade camera whether smart or conventional to be leveraged.

Solution

At e.GO, Relimetrics implemented a very intuitive and efficient solution to capture end-of-line quality issues using Relimetrics‘ AI-based machine vision software (ReliVision) in partnership with HPE and PTC.

ReliVision leverages existing industrial grade camera hardware, providing a flexible and scalable image inspection solution for anyone without any coding expertise to perform AI based machine vision and quickly deploy trained models in line for real time inspection on the shop floor and scale across inspection sites.

Relimetrics Impact

10-30%

Reduction
in downtime

25%

Reduction
in scrap & rework

€5.3m

Reduction
in scrap & rework

Automotive: Module Inspection

Our customer is a global Tier I automotive supplier of modular and assembled automotive parts. To keep OEM customers satisfied and prevent warranty claims, our customer is focusing on digitizing and improving product quality assurance.

Challenge

Customer has already invested in embedded computer vision systems to digitize quality audit of drive shaft modules in its production line.

The return on investment has not been realized due to the deployed systems failing to deliver the required probability of detection (POD} and generating high percentage of false alarms.

As the module directly impacts vehicle safety, false detection is a significant liability.

Solution

Relimetrics augmented the existing camera hardware previously deployed at the customer, boosting the POD with its machine learning approach at the edge.

This solution enhanced and unlocked much more value from the previous investment.

It also fully integrated with the factory Manufacturing Execution System (MES), allowing our customer to use a single interface while using Relimetrics.

Relimetrics Impact

<.5s

Near real-time
inspection

>99.9%

Increased existing PoD from
97% to 99.9%

Full
traceability

Improved handling
of quality issues

Automotive: Blow-Molded Plastic Part Inspection

Our customer provides automotive OEMs with high performance components with plastic parts, such as manifolds, ducts and cylinder head covers. As an early adopter of Industry 4.0 technology, it set out on a robust digitization journey in an effort to increase manufacturing efficiency and decrease costs.

Challenge

Customer uses blow molding process to manufacture automotive filter components. Produced parts have to meet stringent customer quality demands and standards to avoid costly recalls.

Today, quality inspections are done manually by operators. Defective parts are either recycled or discarded. Recycling can lead to contamination, and discarding is costly and wasteful.

Process control is the main challenge. Currently, blow molding technicians adjust machine parameters to optimize production efficiency within quality specifications. Yet, quality drifts may go unnoticed for days.

With increasing quality demands, customer sought to make automated quality audit and process control an integral part of the production process.

Solution

Relimetrics deployed a fully-integrated system that digitized visual inspections of manufactured components. The system:

■ Inspects the dimensions and surface of every manufactured part and assures quali­ty is within specifications
■ Correlates digitized quality data with machine and process data to optimize blow molding process
■ Identifies quality drifts in real-time and provides recommendations on how to adjust process parameters for optimized production, increasing productivity and throughput of a production line

Relimetrics Impact

50%

Cost decrease related
to quality audit

>99.9%

Probability of detection

Closes
the loop

Real-time process
control feedback

Construction: Smart Inventory Management

Our customer is a leading global supplier of formwork and scaffolding products in the construction industry. It is digitizing sorting and handling of returned articles in its rental businesses to have full traceability of quality before making decisions on article repair, reuse, and customer billing.

Challenge

Our customer relies on manual sorting and inspection of articles returned to its rental sites and lacks ways to objectively assess damages. Damages caused by the renters are often overlooked, and renters are not charged for the incurred damage. Increasing number of articles in our customer's portfolio increases labor time and complexity, leading to mistakes in sorting and counting. This is amplified further with differences in contract terms and conditions with the renters.

Solution

Relimetrics provides a flexible and scalable image inspection solution, which can be managed directly by customers, for object recognition, counting and damage assessment. Interface modules enable connection to MES, ERP systems, enabling a closed loop inventory management process to be delivered to any production or rental facility. Relimetrics solution is hardware agnostic and can leverage existing hardware resources, allowing our customers to extract more value from their investment.

Relimetrics Impact

Full traceability
of defects

More accurate way to
determine root causes

>99.9%

Probability of detection

Significant
time reduction

Significant reduction
in inspection time

Construction: Panel Inspection

Covestro is a leading global supplier of innovative polymers used in nearly every part of modern life across industries and products. It is helping its own customers to innovate and create better products by designing better performing materials and modernizing manufacturing.

Challenge

Strict quality demands in the construction industry puts high pressure on panel suppliers to deliver quality assured products.

Visual inspections are slow, subjective and often prone to errors, making defects undetectable until panels show signs of tear and wear while in use. Extraction of defective panels is costly, and expose the panel suppliers to fines and other liabilities.

Identifying the root cause of defects poses an additional challenge due to lack of understanding of correlation between machine, process and quality parameters.

Solution

Relimetrics solution digitizes quality inspection of polymer panels using ReliVision and provides a full overview of quality before the products leave the shop floor.

The system can be used to inspect a variety of quality parameters in the manufactured panels, including panel alignment, thickness,  and surface anomalies, such as cavities and voids.

The deployed system also integrates with the shop floor MES, and offers the customer additional value metrics to improve its manufacturing and quickly detect quality drifts.

For more details, visit our Insight.tech article.

Relimetrics Impact

1s

Inspection time
for a whole panel

>99.9%

Probability of detection

Full
traceability

More accurate way to
determine root cause of defects

NDT: X-Ray Inspection Digitization

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Challenge

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Solution

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NDT: Phased-Array Ultrasound Digitization

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Challenge

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Solution

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