The analysis of the field traps where the mosquitoes insert their eggs is vital to check that the sterile insect technique (SIT) is working properly. This is because the number of hatched eggs may indicate that the sterile males are not competing with the wild ones. Nowadays, the study of the traps is done manually by microscope and is very time-consuming and prone to human error. This paper presents an automatic trap survey. For this purpose, a device has been designed that automatically scans the slat obtaining different overlapping photos. Subsequently, the images are analyzed by a Mask-RCNN neural network that segments the eggs and classifies them into 2 classes: full or hatch

翻译：对蚊子产卵的野外诱捕器进行分析，对于验证昆虫不育技术（SIT）是否正常运行至关重要。这是因为孵化卵的数量可能表明不育雄蚊未能与野生雄蚊形成有效竞争。目前，对诱捕器的研究主要通过显微镜人工完成，该方法耗时耗力且易出现人为误差。本文提出了一种自动化的诱捕器检测方案。为此，我们设计了一种能够自动扫描产卵板并获取多幅重叠图像的装置。随后，通过Mask-RCNN神经网络对图像进行分析，该网络可对蚊卵进行实例分割并将其分为两类：完整卵与孵化卵。