Technologies

Our adult content detection technology can recognize any not-safe-for-work (NSFW) content in an image. The model differentiates between explicit/non-explicit content in real time, returns the label, coordinates, and restricts the accessibility of any improper content.

Our logo detection dataset includes a vast library of existing brand logo images and detects popular brand logos in images, videos, and GIFs. With our logo recognition software, brands can check how often their logos are displayed on social media platforms and elsewhere online and how they appear.

License plate detection is a technology that recognizes vehicle number plates in an image or video. The technology uses optical character recognition to capture images or videos from license plates and transforms the optical data into digital information.

Age detection automatically estimates a person's age from an image or video. The age detector model is built based on a large number of pictures of different ages as a training dataset.

Wearing a safety helmet is very important to ensure the safety of workers on the construction site. Our computer-vision-based technology automatically inspects the workplace and detects helmets in real time.

Our scene classification and analysis API identifies the apparent location of the scene in a given image or video. The system returns multiple scene labels and classifies them at scale. The model checks whether it is an indoor or outdoor space and groups the scene under possible categories and attributes, such as, outdoors on a farm, around sunny mountains, etc.

Industrial AI works as an all-in solution for quality control in the manufacturing process. The technology is AI-powered and detects if there are defects in the product. This technology can be used in almost any manufacturing process, where a camera is placed on the production line.

Our face detection API detects the existence and location of faces in an image or video, identifies facial landmarks. Our face detection technology is highly reliable and accurate in detecting human faces in different applications.

Eye gaze technology uses deep learning to perform eye tracking. More specifically, the technology analyzes eye movements and identifies a person’s focus on visual information.

Facial landmark detection technology identifies the key landmark points on the face from images. The technology detects 64 key points on the face, outlines the facial features, tracks and calculates distances between landmarks.

Head pose estimation is a technology that detects the pose of a human head in an image. The technology uses yaw, pitch, and roll angles of a head movement to predict the right position of the human's head in real time.

People are used to taking in visual cues such as facial expressions for reading the emotions of others. With the help of AI technology, emotion recognition models get even better at analyzing expressions on a human’s face and detecting their emotional states.

The mask detection model recognizes all faces in an image/video and classifies them as covered up or not. The model returns a value to assess if the person's face is uncovered or if the person is wearing a mask.