{'fraction_non_alphanumeric': 0.013968775677896467, 'fraction_numerical': 0.0, 'mean_word_length': 5.0, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Single ship target detection based on the concept of edge computing

Target detection is an important research direction in the subject of computer vision, and it has a wide range of applications. Inland river ship target detection is of great significance to inland river environment detection, inland river ship obstacle avoidance, and other fields. However, as the requirements for the intelligence of ships become higher and higher, there will be more and more equipment on ships. These devices will rely on the computing power of the terminal computer to complete data processing and other related tasks. This will lead to problems such as excessive load on the terminal computer equipment and tight computing power. Therefore, this paper introduces the concept of edge computing on the basis of traditional target detection methods. We use edge devices with computing power to complete single target detection of moving ships. This will alleviate problems such as tight computing power of terminal computer equipment to a certain extent. Since the edge device is close to the edge side, the data transmission delay problem can also be optimized, which is of great significance to the development of smart ships.