How To Implement Image Recognition

How To Implement Image Recognition?

How to implement image recognition in our daily life? As we are more exposed and engage in technologies, we wanted to take advantage of everything that they offer.

Implement Image Recognition

In this article let’s learn about how image recognition works. Also, how to implement image recognition.

Image recognition work in three stages

  1. Organize and gather -Organizing the image data by both training and testing. Where training data is kept separately from the test data. Moreover, it deletes the duplicates between them.
  2. Using neural networks, a model is built for a mathematical model.
  3. The new data will run to the model to generate a prediction.

The result will is fast like a lightning. 

Implement Image Recognition in Massive Production

Maintenance – The machine learning devices will monitor data on pieces of machinery. If it still working on good or some parts needs a repair.

Inspecting packages – For big companies who produce a massive amount of product manually checking the products is a problem. You need a lot of manpower and at the same time, it is time-consuming. 

However, thanks to image recognition. By using it, the problem will be solved. 

Let’s have a scenario here,

Some big pharmacy stores have a packaging system. Therefore, it use for checking the quality and the broken items.

Barcodes – An app called PanelSan is develop to read barcodes. Moreover, this is one of the unique strategies of image recognition.

Improving Safety – By implementing image recognition with the use of real-time camera equipment is now more efficient and improved. For example, some equipment has a camera and sensor.

 In Insurance Company

Satellite images -The agricultural insurance are basing on satellite images for monitoring large agricultural area. By doing so, if ever there are calamities, the insurance will easily give price risks in more accuracy.

Accident Insurance – If ever the car owner faces an accident he can immediately capture the car plate and send it to the insurance company. By doing so it can shorten the claiming procedures.

Surveillance 

Intelligent surveillance – image recognition using video technology now is a big help in capturing criminals. Monitoring the criminal’s whereabouts.

Intelligent Analytics – More like motion detections. Where it gives alerts if needed.

News And Media

The consumer with digital marketing – In gathering insights, image recognition can be helpful. So by using the previous search item, you can understand what the consumer needs. 

What do they post about? how do they feel thru images?

Customer service and social media marketing – well as many people today are more engage in the digital world, might as well take that advantages. So by implementing the image recognition artificial intelligence you can just automate the services through a media account.

Moreover, if ever a consumer has a problem, through social media he/she can easily address the problem. And also you can easily respond to it quickly.

Conclusion

Therefore, by implementing of image recognition have covered a lot of aspects that can change our daily lifestyle. Such as:

  • Surveillance and security
  • Face recognition
  • Social Media
  • News and Media
  • And Etc.

Indeed, image recognition is a big help to companies or individuals.

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