Automatic Weapon Detection in Social Media Image Data using a Two-Pass Convolutional Neural Network
Police analysts are faced with a deluge of data when monitoring the activities in specific areas of social networks and other internet data sources. Image recognition can help to prioritize the reading and subsequent analysis. The paper presents a case study for weapon detection in image data that has the potential to reduce the workload of the analyst by a factor of 200.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The copyright of individual articles are with the author(s) and CEPOL. Reproduction without alterations is authorised for non-commercial purposes, provided the source is acknowledged.