{'fraction_non_alphanumeric': 0.023133543638275498, 'fraction_numerical': 0.0, 'mean_word_length': 4.95, '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}}
Patrol Control System Using AI

Visualization frameworks are used to monitor almost all open and private areas. The continuous operation of these components adds additional power to the visual action. In such cases, any suspicious or decisive action is detected by examining the camera's continuous video transmission through these frameworks. For the most part, the viewing action is an additional manual, that is, a standard CCTV video film is screened by security personnel in a specific control room. It is difficult for anyone to monitor CCTV continuously and diligently without rest. In this way, the excitement and adequacy of such a view depends on the capabilities of the security equipment, (i.e., the individual), and therefore represent the need for additional staff of non-stop vision. This paper explores an independent system that will not only reduce human effort but will also increase the legal expertise of the city's public spaces.