Phone: +49 1515 7806526
QOCOA - The future of digital quality assessment for the cocoa industry
We provide chocolate manufacturers, transport companies and cocoa processors computer vision based AI solutions
for the digital monitoring of cocoa quality.
FCC-compliant
Software-based
Cocoa Grading System
Learn how to use our software for defect identification as part of the standard cut test.
Discover our innovative solution for objective quality control of cocoa beans that fully complies with the guidelines of the Federal Communications Commission (FCC). Our system offers companies working to FCC standards, as well as those already using a similar system, the opportunity to optimize and objectify their quality control processes. By implementing our software, you can ensure that your quality standards are always met while saving time and human resources.
Request a live demonstration to find out more about how our FCC-compliant cocoa grading system can support your business.
Automatically Detected Defects
Our software is able to detect following defects based on training with hundreds of photos.
non-fermented (slaty)
under-fermented (violet)
insect-damaged
mould
Cocoa Cut Test 2.0 - Defect Detection using Computer Vision
The issues of manual cut test in quality assurance and how we solve it
Expertise
intensive method
Recognizing even the most obvious defects during the cut test needs specialized training. The knowledge about cocoa beans is not transferable to fruits or nuts.
Our software QOCOA learns a common knowledge and is able to classify defects at same or even better accuracy as specialists.
Objectiveness is
not guaranteed
Experts with different levels of experience will evaluate the same test differently.
QOCOA automatically finds visual features that correlate to defects that is has learned from hundreds of beans having these defects.
Error-prone monotonous workflows
Cut test evaluation requires high concentration while the work steps are always the same. In addition, this binds trained employees who are needed in other stages of quality assurance.
We at QVISIONS are sure that our automation approach helps to meet the demands of your quality assurance at a consistently high level.
How it works out
Step 1:
Start new
test execution
Specify details about the bean sample that are necessary for your quality management processes.
Add comments for your QS team or change the origin of the beans.
Step 2:
Cut the beans by Guillotine
The Guillotine allows cutting 50 beans at once and arranges both bean halves in a fixed grid.
Step 3:
Take photos using our Photo Box
The photo box guarantees the best image quality. This allows us to recognize even fine traces of mould.
The pictures are automatically transferred from the photo box to the Qocoa app on your device.
Step 4:
Let our software detect fermentation grade and defects
Get instant feedback about detected defects and fermentation grade of each single bean within seconds.
Automatically generate a digital report you can share with others.
Runs on Desktop and Mobile
Quality Management Platform
Digital Quality Management
One platform tailored to your cocoa business.
Trustful, fast and objective information flow between Quality Assurance and Management.
Integrates innovative quality grading methods like defect detection using computer vision.
Digital Protocols
Fast and easy to create and use.
Oriented towards international standards:
- Cocoa Bean Count
- Cut Test
- Measuring Moisture Content
Results are editable at any time but any subsequent changes will be versioned (tamper-proof).
Share your digital reports with collegues or your contractors.
Advanced Data Analytics
(Coming Soon)
Information are base for advanced data analytics.
- Makes fluctuations in quality visible.
- Helps with purchasing decisions.
- Visualized in intuitive dashboards.
Optimize your supply chain based on the insights derived from your data.
Our Team
Our team consists of excellently trained and motivated employees who are absolute experts in their field. Thanks to their many years of experience in the industry, they can provide comprehensive, first-class service for our customers at all times.
Tobias Jaeuthe
Computer Vision Specialist
Tobias Jaeuthe studied computer science at the University of Potsdam and has been IT entrepreneur in the field of machine learning and computer vision since 2016.
The idea for a computer-assisted assessment of the cut test was the result of a private visit with Tobias' family to the Chocoversum in Hamburg.
Maik Degner
Business Development
Maik Degner is particularly committed to fairness in dealing with the customer. With his experience in business start-ups and sales, he is a driving factor for our plans.
Johannes Spazier
Software Tech Lead
Johannes Spazier and Tobias Jaeuthe working as a team since the beginning of their studies in computer science in 2010.
As software architect and developer with great passion, he solves every technical challenge with great care.
Contact
Phone: +49 30 577026250
E-mail: info@qvisions.eu
Copyright © QVISIONS GmbH 2024
All rights reserved.
Wir benötigen Ihre Zustimmung zum Laden der Übersetzungen
Wir nutzen einen Drittanbieter-Service, um den Inhalt der Website zu übersetzen, der möglicherweise Daten über Ihre Aktivitäten sammelt. Bitte überprüfen Sie die Details in der Datenschutzerklärung und akzeptieren Sie den Dienst, um die Übersetzungen zu sehen.