Omegga is developing a non-invasive, purely optical, machine learning based method for in-ovo sex detection of chicken embryos at an early stage. Our solution enables egg-laying farms to implement a sustainable and economically viable approach that complies with the evolving legal regulations and consumer preferences surrounding male chick culling.
01 / Incubator integration of measurement arm
Rotating measurement arm is integrated into hatchery incubator infrastructure. It drives to each egg and measures it.
02 / Data collection
Visible light is used to non-invasively scan the closed embryonated eggs every 5 hours from incubation day 3-6. Collected data is uploaded to the cloud.
03 / Sex detection
After data collection is finished, AI sexes the eggs based on various time-based indicators by the 7th day of incubation.
04 / Sorting & repurposing
After sexing, male & unviable eggs are removed, freeing up incubator space by more than 50%. Sorted out eggs will turn into new revenue streams by repurposing them for secondary use.