{'fraction_non_alphanumeric': 0.005272407732864675, 'fraction_numerical': 0.0, 'mean_word_length': 4.816326530612245, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Development of home intruder tracking system using face recognition

The intrusion of burglars to the houses of common people in their absence intensifies the risk of financial loss in a great manner in recent days. Proper tracking to this type of intrusion and proper notification to the house members as well as the neighbour can reduce this type of malpractice. A system has been proposed in this paper to recognize the faces of intruders in order to identify their faces as illegal infiltrator and prevent them from any burglary activity by face recognition method.