Step 2: Classification & Sorting
Automated Hatching Compartments
The Senecio novel solution is based on a modular approach, enabling the increase in sorting capacity as per the throughput required.
We use advanced Deep Learning to classify the mosquito sex upon their emergence, during which stage the mosquitoes are relatively stationary.
A continuous flow of mosquitoes enter the hatching station for classification. Being modular, the number of stations is set in order to reach the required rate per day.
Male mosquitoes only, are directly emerged into release cartridges.
Automated Classification - Adults Stage
Reaching extremely high accuracy, Senecio IP also covers the classification & sorting of adult mosquitoes under cold conditions as they are stationary as well.
Senecio novel approach, solved one of the biggest challenges for the manipulation of mosquitoes in order to expedite the identification process and reaching high accuracy, ensuring mosquitoes are standing during which their gender features are always seen by the classification camera (avoiding problems associated with mosquitoes laying on their sides for example).
Mosquitoes are conveyed towards classification and robotic sorting stations, in which classical image processing and Artificial Intelligence such as Deep Learning are used.
Each individual mosquito is recorded for back tracking, explored and identified as a male or female.
Once classified, females are removed using robotic arms, or zapped by laser as demonstrated by the image on the right.
Once only males are left on the conveying system, they are moved for packaging on the next station.