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AI allows security cameras to provide round-the-clock surveillance, thereby making people’s lives more secure & safe.
We utilized bounding box & polygon annotation techniques to annotate individuals in crowded places, such as airports, railway stations & malls, using blurred images & videos captured from surveillance cameras. This annotation process enabled accurate identification & tracking of people in these high-density environments.
Bounding box annotation techniques is utilized to identify & label various types of weapons presented on a tray in videos. This annotation process facilitated the accurate categorization of weapons, enabling tasks such as weapon detection, security analysis & threat assessment to be performed effectively.
Strategically locating multiple key facial points, including eyes, nose, lips, ears & face contour on images. This enhances the system's ability to accurately identify & track individuals in images, ensuring superior performance.
We analyzed the sentiment in diverse text data, encompassing social media posts, news articles & more. We accurately categorized sentiments as positive, negative, or neutral, while assigning relevant labels such as Abuse, Drugs, Intoxication & more for enhanced insights & understanding.
We performed analysis on night vision camera images, employing bounding boxes to accurately identify and labels objects such as humans, animals, vehicles, etc. This annotation process enhances the visibility of object subjects, enabling improved surveillance, security & situational awareness in low-light conditions.
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