Trademark Detection Algorithm Based on Artificial Intelligence
Hong Chen · 2023
In the field of computer vision, the performance of deep learning in target detection task has exceeded the past and reached the highest level in history. The trademark detection algorithm is based on artificial intelligence. Artificial intelligence based algorithms are used to detect trademarks of specific products. Its working principle is to compare the images of products with those of other products with similar images in the database. Different from the target detection task in the open field, the trademark detection task has the characteristics of large target scale span, complex scene change, serious target rotation deformation and a large number of small targets. At present, the mainstream target recognition algorithm has low accuracy in the recognition task in the trademark field. The trademark detection algorithm compares the images and finds the similarity between them. If there is any similarity, it will be marked as a trademark item. The algorithm is developed using artificial intelligence and machine learning technology to detect trademarks in images or video frames captured from different angles.