AI Image Recognition: How does it work?!

AI Image Recognition: How does it work?!

All organizations can benefit from modern data processing solutions. By automating various manual processes, productivity can be maximized, and day-to-day operations can be made easier. Image recognition is one of those technologies! With it it’s possible to overcome various operational problems and optimize your business’s workflows.

What is AI Image Recognition?

Image recognition is a part of computer vision, which is the science of enabling computers to interpret various types of visual data, such as videos and images.

With the advancement of artificial intelligence, image recognition has become better and faster, even being able to pick up hidden patterns in images (that might not be apparent to the human eye) and significantly reducing the amount of input and feedback needed from human sources.

How does AI Image Recognition work?

AI image recognition works through deep learning, by trying to imitate the way that the human brain works. Even though they try to imitate the human brain, AI can supersede it, by the increased processing power available to it. The whole process can be divided into three parts:

  • Training – The algorithm is taught what to expect as input data. If for example, you’d want a system able to identify car brands, you’d feed it with various images of specific brands for it to study the differences
  • Testing – Test images are input into the system and the results studied to evaluate its accuracy.
  • Prediction – When the system meets the required accuracy, it’s deployed and used to analyze real data.

MakeWise’s AI Image Recognition use cases

There are many use cases for AI image recognition, and we will show you some developed by us at MakeWise.

AI Image Recognition in Vehicle Inspection

Various businesses can benefit from using automated vehicle inspection, such as:

  • Insurance companies:?When making a new insurance contract on a used vehicle, damages on the vehicle can be detected. Some of those could be, for example, things that would go unnoticed if a human were doing the inspection. It can also be used to access damages after an accident.
  • Vehicle transportation companies:?The vehicles status before and after transportation. Is there any damage? When did it happen and who is responsible?
  • Car rentals:?After a vehicle is returned, it can quickly be scanned to look for any type of damage that requires extra payments.
  • Used vehicle dealers:?Damages and repair costs can be quickly calculated for the final price of the vehicle to be found.

This are just a few examples of businesses that can be improved by this technology.

AVI.VISION – Automatic Vehicle Inspection by MakeWise

With AVI.VISION you can automate inspections processes, improved accuracy and optimizing your company opportunities, giving you the opportunity to redeployed human inspectors to higher value-add functions within your business.


AI Image Recognition in Logistics and Transport

Logistics and the transportation of raw materials are areas involving large volumes of resources, equipment, and information. These are activities known for their complexity of implementation, namely in processes and automations, and in its coordination.

Control of information flows, material handling, production, packaging, inventory, transportation, storage and safety is essential. In certain parts of the process, there may still be routine and repetitive tasks that require the presence of a person to control and verify operations.

CHECKPOINT.VISION - Logistics and transport of Raw Materials

Whatever the needs of your industry,?CHECKPOINT.VISION?is a computer-operated, vision-operated load control system. It allows the recognition of objects, as well as the control and verification of the transport of loads. In addition, it provides absolute control and validation of the integrity and transport of raw materials, from origin to destination.


AI Image Recognition in food and fast checkout

Self-service restaurants can benefit from this technology, by having faster and automated checkout processes. With the use of multiple sensors, each individual item can be recognized and charged accordingly.

FOOD.VISION - Meal Recognition System

Food Recognition, Food Tracking and Fast Restaurant Checkout powered by MakeWise’s proprietary Machine Learning Algorithms and Technology.

?

AI Image Recognition in real-time vehicle identification

The possibility of automatically identifying objects, people and even animals is a reality. This surveillance allows multiple practical applications. Obviously, those related to security, but also, for example, with the management of spaces, something quite put into practice since the pandemic.

There are some computer vision and artificial intelligence powered technologies designed not only to identify vehicles, but also license plates and VIN (Vehicle Identification Number) numbers.

?

PLATE.VISION - License Plate Identifier

The PLATE.VISION – ANPR (Automatic Number Plate Recognition), developed by MakeWise, is a real-time vehicle identification software. It stands out mainly because it is:

  • Robust – With the ability to identify License Plate, Vehicle Identification Number, Brand and color, etc.
  • Dynamic – Applicable to different scenarios by critical standard (Filling Stations, Road Tolls, Car Parks, etc.).
  • Compatible – Can be implemented in various Server/Desktop, Cloud and or Mobile environments.

One of the practical applications of PLATE.VISION is in the supervision of refuelling at fuel filling stations or in car parks, in the authorization, monitoring and control of vehicle access.


Confirm all MakeWise’s solutions?here, and start your business digital transformation journey.?Contact us!

要查看或添加评论,请登录

MakeWise的更多文章

社区洞察

其他会员也浏览了