NCMS olutions 

Computer Vision

Facial Recognition, Object Detection & Recognition, Object Tracking

At NCM we use sophisticated Deep Learning techniques to train Artificial Neural Networks to carry out a natural human activity: recognize faces and objects by processing images and videos.

 

Computer Vision

Facial recognition
in the shortest time

 

A facial recognition system is a technology capable of identifying a person from a video frame from a video source. NCM has developed Artificial Intelligence methods that work by comparing selected physical characteristics of people from a video source with the faces of people within the database. People can be identified through the analysis and comparison of patterns based on the physical characteristics of the person's face (texture, shape etc.).




 
Computer Vision

A process whereby computers can gain high-level understanding from digital images or videos and a process of extracting dimensional data from the real world.

 
Areas of application
- Object recognition and detection
- Facial recognition
- Automatic inspection (in production environments) 
- Process control (e.g. an industrial robot) 
- Visual surveillance
- Event detection (attendance detection, access control) 
 
Benefits
- Easier and faster process management
- Accuracy
- Wide range of uses
- Reliability
- Cost reduction
Computer vision

Object Detection & Recognition

 

Object recognition is an artificial vision technique for identifying objects in images or videos, analyzing thousands of classified images and learning the characteristics that differentiate one object from another.

Object detection is the process of detecting instances of objects in images. The object is not only identified, but also localized in an image. This allows you to identify and locate multiple objects within the same image.

Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.

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