Evaluating the Impact of Various Existing Computer Vision Models on Reducing False Negatives and Positives in Commercial and Residential Security Surveillance Systems
Harish Balamurugan, Pranav Pakanati, V V. Durga Ravali Amara · International Journal for Research in Applied Science and Engineering Technology · 2024
Abstract: The following analytical study examines the contributions different computer vision models have made to reduce false negatives and positives in surveillance systems. Synthesizing the results of existing research regarding models in different environmental conditions, the work further compares the implications of these technologies at commercial and residential levels. The contexts of environmental and operational variances are tested apart to find any resultant trends and/or challenges. Conclusions are then derived from these results to recommend specific models that would perform better in a residential or commercial setting. Limitations are observed and results are discussed in a larger multi-disciplinary context.