AI and Automation are synonymous with automating human tasks and bringing in human-like intelligence in systems. However, Image Recognition, one of the most important and significant components in AI is like a human eye for AI.

How can I know whether the driver driving a vehicle is tired or frustrated? How do I know the Best driving speed for all vehicles and when is my vehicle tire to be replaced? An Image Recognition system can help solve all these problems.

Let me first define Image Recognition. Image Recognition is the ability to process and identify images and patterns in pictures and Videos. This allows a system to recognize different types of objects in pictures. Some of the Image recognition systems are listed below:

  • Optical Character Recognition (OCR)
  • Pattern Matching
  • Face Matching
  • Feature Matching
  • Motion Detection
  • Traffic Signal detection
  • Video Surveillance

Image Recognition systems apply Machine Learning algorithms to analyze the data in images. Each Image pixel is labeled with Y, U, V color entries. Decision Trees, Artificial Neural Networks (ANN), Instant-Based Learning, Scale Invariant Feature Transform (SIFT), Eigenvector and Support Vector Machines algorithms are used for image recognition and classification of image data.

Image Recognition would be most useful in Industrial Automation, Video / CCTV surveillance systems, Home Automation Systems, and Healthcare. Maintenance operations in Industry involve close monitoring of Equipment and Plants. Image Recognition systems can analyze the videos and images of Plants and Equipment and identify potential breakdowns & security hazards. Equipment that is damaged or is due for repair can be quickly identified by pattern recognition feature of Image Recognition systems.

Video surveillance systems involve scanning videos recorded to identify people, images or objects. This can be easily automated by an Image Recognition system. Image Recognition systems can continuously identify people from Images and recognize faces and objects, just like a human eye. The video analysis can be used by Insurance companies as well. Image recognition can be used Home Automation system to identify potential thefts, unwanted intrusion, and alert about potential hazards.

Smart Cities requires monitoring and surveillance of large public spaces such as Roads, Parks and Parking etc. Image Recognition helps in the surveillance of public places. Image Recognition system can quickly identify the types of vehicles on the road, alert about accidents, hazards and traffic conditions.

Image Recognition, when applied to Medical images, can help quickly identify diseases and check the health of patients. The pattern of organs and diseases along with past data also suggests a possible diagnosis of patients. The potential for Image Recognition is limitless. It is required in IOT Applications and Digital Farming.

OpenCV, Amazon Recognition, Google Video Intelligence API, Google Cloud Vision API, Microsoft Cloud Vision API and Microsoft Emotion APIs are some of the Tools that provide basic and advanced Image Recognition capabilities. These tools can certainly provide human eye like the capability to AI systems.

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Abhijit Sontakey

Program Manager – Product Integration

Abhijit has authored White Papers in Infosys Labs. He is passionate about AI and leading automation projects in EdgeVerve

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