{'fraction_non_alphanumeric': 0.028901734104046242, 'fraction_numerical': 0.0, 'mean_word_length': 5.190476190476191, '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}}
Monulens : Real-time mobile-based Landmark Recognition

In this report, we present a real-time mobile-based landmark recognition application called Monulens. Contrary to most applications, Monulens does all processing on the mobile device alone, and does not require any server-side support. We present quantitative results regarding the time taken for processing a single query. We also present empirical accuracy of the application. We also formulate results for cross-device testing and observe an interesting trend.