Crowd Surveillance
For Crowd Surveillance services, we utilize bounding box & polygon annotation techniques to annotate individuals in crowded places, such as airports, railway stations & malls. Our expertise in annotation from blurred or far off images & videos captured from surveillance cameras sets up apart from our competition. Our Crowd Surveillance annotation helps in identification & tracking of people in these high-density environments.
Weapons Detection
For Weapon Detection services, we utilize bounding box to identify & label various types of weapons presented on a tray in videos. This annotation process facilitates the accurate categorization of weapons, enabling tasks such as weapon detection, security analysis & threat assessment to be performed effectively.
Facial Recognition
In Facial Recognition, our team precisely locates and annotates various key facial points, such as the eyes, nose, lips, ears, and face contour within images. This annotation process significantly enhances the system's capability to accurately identify and track individuals. As a result, our solution ensures unparalleled performance in facial recognition tasks.
Emotional Profiling
For Emotional Profiling services, our annotators analyse the sentiments in diverse text data, encompassing social media posts, news articles & more. We accurately categorize sentiments as positive, negative or neutral, while assigning relevant labels such as Abuse, Drugs, Intoxication plus more for enhanced insights & understanding.
Night Vision Camera Images Annotation
In Night Vision Camera Images Annotation, we perform analysis on night vision camera images & videos, employing bounding boxes to accurately identify & labels objects such as humans, animals, vehicles, weapons etc. This annotation process enhances the visibility of object subjects, enabling improved surveillance, security & situational awareness in low-light conditions.
Theft Detection
For Theft Detection services, our team performs bounding box annotation on images & videos & identify instances of theft or suspicious activities. Using bounding box annotation, we label persons engaged in theft, shoplifting & other suspicious behaviours, adding classes including "Person" & types of theft such as "Shoplifting" or "Employee Theft" etc.