Hilsa is the national fish of Bangladesh. Bangladesh is earning a lot of foreign currency by exporting this fish. Unfortunately, in recent days, some unscrupulous businessmen are selling fake Hilsa fishes to gain profit. The Sardines and Sardinella are the most sold in the market as Hilsa. The government agency of Bangladesh, namely Bangladesh Food Safety Authority said that these fake Hilsa fish contain high levels of cadmium and lead which are detrimental for humans. In this research, we have proposed a method that can readily identify original Hilsa fish and fake Hilsa fish. Based on the research available on online literature, we are the first to do research on identifying original Hilsa fish. We have collected more than 16,000 images of original and counterfeit Hilsa fish. To classify these images, we have used several deep learning-based models. Then, the performance has been compared between them. Among those models, DenseNet201 achieved the highest accuracy of 97.02%.

本研究提出了一种有效的方法来检测孟加拉国国鱼希尔莎鱼的真伪，以解决近日来不道德商人出售假希尔莎鱼的问题，并采用深度学习模型分类了超过16,000张真实和伪造的希尔莎鱼的图像，并比较其性能，其中DenseNet201具有最高的97.02％准确度，以及阐述了这些假希尔莎鱼对人类健康的危害。

利用机器视觉进行假带鱼检测