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The Sterile Insect Technique (SIT) is a biological pest control techniquebased on the release into the environment of sterile males of the insectspecies whose population is to be controlled. The entire SIT process involvesmass-rearing within a biofactory, sorting of the specimens by sex,sterilization, and subsequent release of the sterile males into theenvironment. The reason for avoiding the release of female specimens isbecause, unlike males, females bite, with the subsequent risk of diseasetransmission. In the case of Aedes mosquito biofactories for SIT, the key pointof the whole process is sex separation. This process is nowadays performed by acombination of mechanical devices and AI-based vision systems. However, thereis still a possibility of false negatives, so a last stage of verification isnecessary before releasing them into the environment. It is known that thesound produced by the flapping of adult male mosquitoes is different from thatproduced by females, so this feature can be used to detect the presence offemales in containers prior to environmental release. This paper presents astudy for the detection of females in Aedes mosquito release vessels for SITprograms. The containers used consist of PVC a tubular design of 8.8cm diameterand 12.5cm height. The containers were placed in an experimental setup thatallowed the recording of the sound of mosquito flight inside of them. Eachcontainer was filled with 250 specimens considering the cases of (i) only malemosquitoes, (ii) only female mosquitoes, and (iii) 75% males and 25% females.Case (i) was used for training and testing, whereas cases (ii) and (iii) wereused only for testing. Two algorithms were implemented for the detection offemale mosquitoes: an unsupervised outlier detection algorithm (iForest) and aone-class SVM trained with male-only recordings.

Female mosquito detection by means of AI techniques inside release containers in the context of a Sterile Insect Technique program