Detecting humans in images or videos can be useful in various fields, including the development of suitable business strategy by identifying the number and flow of people concentrated in a particular area or at a specific time. You can also prevent crimes using human detection.
Optical character recognition (OCR) is a technique that locates letters in images, photographs, scanned documents, etc., and converts them into textual data. Deep learning-based OCR technology allows
The traditional posture recognition method was to attach equipment such as sensors to humans to understand their movements. However, there was an inconvenience of having to wear the equipment all the time in real life, while also restricting mobility when wearing the equipment. To overcome these limitations, motion keypoint detection using artificial intelligence forms a set of coordinates that can be connected to describe a person's pose. After holding each keypoint with each human joint, you can extract the human skeleton by connecting the keypoints in the image or video. Use the extraction results to analyze the behavior of the detected person from various angles.
The Data Protection Act (Amendment to the Privacy Act-Amendment to the Information and Communication Network Act-Amendment to the Credit Information Act) and the European Union (EU) are actively demanding protection of privacy. As the development of face authentication technology progresses, the demand for de-identification technology to prevent personal information misuse and abuse is also expected to increase.
Features such as nose, eyes, mouth, eyebrows, and chin line on a person's face can be called landmarks. Face Landmark AI recognizes the person's entire face from the original uploaded image or video, and then designates a more specific face landmark. Given the position and size of the face, it automatically determines the shape of facial components such as eyes and nose, and provides the results for use in areas such as facial expression detection and blink detection.
Object detection in living spaces is specialized for objects, such as microwave, oven, chair, table, mouse, and laptop. Living space reveals individual's lifestyle. You can use the object recognition technology in your living space to decorate your own space and have easier access to objects by identifying them. In business, you can recommend specific products to customers by understanding the styles of the items in their living spaces
Like applying more advanced recommendation algorithms in worldwide video streaming services such as Netflix and YouTube, customers want a service that shows recommendations based on their interests rather than trying to find a product on their own. Targeting the products that a specific customer wants is the key to marketing.
With AutoML + Consulting, you can request a professional consultant of DS2.ai to develop artificial intelligence.