The working principle and industry application of AI intelligent image recognition

AI Intelligent Image Recognition (part of Artificial Intelligence (AI)) is a mega-trend in artificial intelligence that is gaining momentum today.Fuwei Image is also engaged in the research and development and application of image recognition technology.Data shows that the market size of artificial intelligence image recognition has reached nearly 39 billion US dollars.Therefore, AI intelligent image recognition technology already exists in our work and living environment.

AIIntelligentImage RecognitionWhat is it?

We humans are known to easily identify places, objects, and people from images, but these images are traditionally difficult for computers to understand.But when we have AI intelligent image recognition technology, such as Beijing Fuwei Image Technology Co., Ltd. now has a complete software system that can understand the visual information of images, these problems are not big problems.

This involves the concepts of "computer vision" and "image recognition".Among them 'computer vision' is a broad field in which deep learning is used to perform tasks such as image processing, image classification, object detection, object segmentation, image colorization, image reconstruction and image synthesis.And image recognition is a field of computer vision that interprets images to aid in decision-making.In fact, image recognition is the final stage of image processing and one of the most important tasks in computer vision.

AIIntelligentImage recognitionHow it works

For example, the intelligent image recognition system of Fuwei Image mainly uses the image/video captured by the camera to perform intelligent analysis, realizes real-time analysis of picture information, captures the situation that needs to be identified and detected, and pushes messages to managers as needed.The following is a detailed introduction to the working principle of AI intelligent image recognition.

The first step is to capture the data.Acquiring data means classifying each image and distinguishing its physical characteristics.Unlike humans, computers perceive pictures as vector or raster images.So, after creating the structure that describes the objects and features of the image, the computer analyzes it.Therefore, the correct collection of data is critical to training models for AI smart imagesrecognition.

The second step is to build a predictive model.The classification algorithm of this predictive model must be intensively trained or it will not be able to perform its function.An efficient AI intelligent image recognition prediction model can not only decode images, but also have predictive capabilities.Software and apps trained to interpret images are smart enough to recognize places, people, handwriting, objects, and actions in images or videos.

AIIntelligenceImage RecognitionBusiness Applications

With the help of an AI image recognition system or platform, business processes can be automated to increase productivity.In fact, once a model recognizes an element on an image, it can be programmed to perform a specific action.

For example, in the telecommunications sector, quality control automation solutions are deployed.In fact, field technicians use image recognition systems to control the quality of their installations.Another example is an intelligent video surveillance system based on image recognition, which is able to report any abnormal behavior or situation in the parking lot.Thus, image recognition can be used both in telecommunications and video surveillance, as well as in the construction and pharmaceutical industries.

Beijing Fuwei Image Technology Co., Ltd. has been involved in many construction business scenarios by relying on its own core technology of AI intelligent image recognition, such as (1) 360° large field of view helmet recognition; (2) multi-color + adaptive work clothesIdentification; (3) Reflective clothing identification; (4) Smoking identification; (5) Open flame identification; (6) High-altitude work without seat belt detection;Main business scenarios.

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