Hygienic program with Artificial Intelligence
Moba’s Vision Crack Detection
Moba is proud to announce two innovations in the field of crack detection. As hygiene is becoming more important, Moba takes the next step in its hygienic program with the development of a far-reaching new vision crack detection system using Artificial Intelligence. The existing Crack Detector and Shell Strenght Detector will become standard features in Moba's Shell Inspector.
Shell strength becomes a standard feature of crack detection
Moba is committed to adding new and valuable functions to its existing portfolio. For markets where optimizing flock efficiency is key, the monitoring and efficient handling of different shell qualities can have a surprisingly positive result for the business. The shell strength detection function is such a valuable addition.
Moba launched this function to detect the shell strength of every individual egg about a year ago. This innovation is based on acoustic analysis and enables our customers to do two things:
- Monitor flocks based on average shell quality and uniformity within a supply of eggs
- Grade eggs based on shell quality. This means that from a flock of relatively low quality, the stronger shells (which still often represent 80–90% of the eggs) go to retail products, while only the worst are downgraded to an industrial product.
After testing this function at various test sites, it has been proven to work and will become a standard feature of Moba’s crack detection function. This means that from August 2020, all Omnia machines that are equipped with a crack detector will also offer shell strength detection as an additional standard feature.
The functionality is also supported by iMoba so that overviews of flocks can be generated easily.
Crack and Shell Strength Detection become standard features in Moba's new 'Shell Inspector'
Moba’s next step in its hygienic program: vision crack detection using Artificial Intelligence
In recent history, salmonella contamination triggered a rapid change of perspective on hygiene in the North American egg market. Cooperation between research institutes, branch organizations and the USDA led to new guidelines on product handling. In this light Moba, launched a hygienic program last year. The very important first step was the Multi Outlet concept, a way to separate dirty eggs from the production line at the earliest possible stage.
The next step occurs a little further downstream where eggs are inspected for cracks. Moba is proud to announce a futuristic development program to incorporate Artificial Intelligence into a vision system for detecting cracks. The rapidly changing technology in this field enables functions that were unthinkable a few years ago. This type of contactless system is the logical next step in Moba’s hygienic program. Moba started this project together with its long-term partner company IHFood from Denmark, a company that has a long and proven reputation in the field of professional vision detection systems.
Artificial Intelligence and deep-learning technology have been applied for many...
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