The Computer Vision and Machine Learning (CVML) Lab at the Al-Khwarizmi Institute of Computer Sciences is dedicated to advancing research and development in image processing, computer vision algorithms, and natural language processing, with a focus on creating applications beneficial to the broader community in the field of computer vision. The lab is staffed by a dedicated team, including two PhDs and over ten full-time research officers and interns, working on core APIs essential for surveillance systems such as face recognition, emotion and action recognition, and scene analysis. The lab’s mission is to address local challenges through deep research in computer vision and machine learning while also providing valuable training opportunities for aspiring individuals. CVML Lab offers solutions for public spaces, forbidden zones, and the conversion of video data into textual format. Ongoing projects include “Automatic Surveillance of Video Streams,” funded by the National ICT R&D Fund, which focuses on detecting suspicious activities in public and restricted areas through spatial and temporal video analysis. Additionally, the lab is involved in Natural Language Generation and Processing to reduce the storage requirements of surveillance camera video streams by converting them into textual data. In summary, the CVML Lab plays a vital role in enhancing various aspects of life, extending beyond its primary domains.