This research paper focuses on target recognition. Visual perception helps in discerning patterns and characteristics like corners, edges, colors and textures (Keyvanpour et al. in Detecting and investigating crime by means of data mining: a general crime matching framework. Department of Computer Engineering, Alzahra University, Tehrun [1]; William Adderley in The use of data mining techniques in crime trend analysis and offender profiling. University of Wolverhampton, Wolverhampton, England, 2007 [2]; Thiagarajan et al. in Weighted graph approach for trust reputation management. World Academy of Science, Engineering and Technology 2009 [3]; Chen et al. in COPLINK: visualization for crime analysis, 2003 [4]; Xiang et al. in Decision support systems. Elsevier Science Publishers 41:69–83, 2005 [5]; Hand et al. in Principles of data mining. MIT Press, Massachusetts, 2001 [6]; Oyang et al. in A study on the hierarchical data clustering algorithm based on gravity theory, 2001 [7]; Huysmans et al. in Country corruption analysis with self organizing maps and support vector machines. Springer-Verlag, Singapore, 2006 [8]; Neumayer et al. in The metro visualisation of component planes for self-organising maps. IEEE Computer Society, Orlando, FL, USA, 2007 [9]; Pölzlbauer et al. in Gradient visualization of grouped component planes on the SOM lattice, 2005 [10]). The primary focus of this approach is monitoring, sensing and recognizing criminal activities from public sector. The technical approaches of this research include data augmentation, image classification, object detection, frame analysis and temporal resolution, using these features, the entity of crime is detected and is used to conclude that the criminal activity has been transpired (Priddy and Keller in Artificial neural networks. Prentice-Hall of India, New Delhi, 2007 [11]; Tang and MacLennan in Data mining with SQL Server 2005, Wiley Publishing, Indianapolis, USA, 2005 [12]; Sampathkumar in Semigraphs. Narosa Publishing House, New Delhi, 2004 [13]; Zacharia and Maes in Trust management through reputation mechanisms. Appl Artificial Intelligence, 14:881–908, 2000 [14]; Aberer and Despotovic in Managing trust in a peer-2-peer information system, 2001 [15]). The temporal duration of the activity is also catalogued. The offender will be recognized for violating legal norms and perpetrating a crime.