Amazon launches computer vision services to detect defects inmanufactured products using the base art of Artificial Intelligence. Ituses the feature of Amazon Web Services (AWS), i.e., cloud serviceto analyze the images. For this, it uses computer vision and finds thedefects in the products.
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The baseline for this achievement by Amazon is led by Artificial Intelligence. The AWS console provides various features to use the cloud services. The model is trained to detect various defects like dents, cracks, disordered placement of goods, and much more. This all is carried through computer vision. The model requires thousands of images for training to detect a specific issue.
One of the major challenges in this was the camera can capture images at various angles, with specific dimensions, lightening, environment, etc. But Amazon claims that the Vision model that they have developed is powerful enough to draw the specific patterns from the input.
For this, they use a real-time API. They have marked a baseline or can be referred to as the benchmark by which they compare the images. If the Vision marks that the image matches that level then it can suggest the defects whether they are present or not.
It uses two dominant technologies, one is Computer Vision and the other is Artificial Intelligence. The customers can use the services through the Amazon Web Services (AWS) platform and they just need to pay for the hour of usage. The users can give valuable feedback for the improvement of this service. This technique has been an asset as the detection of various faults or anomalies in the manufactured products can be detected quite efficiently.
It can process hundreds of images within an hour! Isn’t that awesome? Amazon claims that the service is effective, efficient, and has a minimal cost that depends on the hours of usage. The output, i.e., the Vision report generated after analysis of the images is reliable. It has added to the digitalization of the nation, where goods can be detected using web services with a pinch of artificial intelligence.
This project is aimed to build the gap between the two technologies – Computer Vision and Artificial Intelligence. The main goal of this project is to satisfy the customers with high-quality online shopping where they can check the quality of their products. This ensures the customers that they will get, what they have ordered.
Many times, customers skip the thought of online shopping because of the trust issue between the customer and the service provider, they fear that they would get the defective product as they don’t have any source of cross-checking the product that they have ordered. This has somehow, hindered the growth of online shopping. To increase the number of online customers and to boost the pace of online shopping, Amazon has introduced Computer Vision technology to aid the customers.
There is no doubt in the fact that, once customer satisfaction is improved, the number of online buyers will increase which will lead to the progress of the IT sector. Each step brings us close to the digitalization of the industry. The use of Computer Vision to detect defects in manufactured products using artificial intelligence is one of the biggest steps in this path.
Suppose you want to buy a Washing Machine. But what you care about is that the Machine shouldn’t have any defects, the color should be what you have selected, the size should be as per your selection, it shouldn’t have any cracks or dents, and much more. But you can’t verify it until it reaches your doorway!
But with the Amazon service, it is possible to detect all the defects in the product that you are buying. Hence, it enables the users to verify their product before it reaches them. They can replace or cancel their order as per their choice and the policy of the particular service provider. Hence, it has achieved one of the biggest criteria, i.e., customer satisfaction.
Now, the customers are no longer disappointed when the product reaches their home!
Amazon Lookout for Vision has the high-quality to detect defects using machine learning and artificial intelligence. It uses various techniques and one of the major techniques is the few-shot learning technique of Machine Learning used bu=y this model.
There are various techniques to detect defects in the manufactured products. One of the most widely used techniques is human inspection. But this technique requires lots of effort, a large amount of time, cost, and is prone to errors. Hence, this technique is not feasible. Due to this, various industries have been shut down.
The main reason for their failure is their inability to satisfy the customers as their products were prone to errors and the error detection policy wasn’t to the mark. Then comes the traditional procedure, ie., using various machine learning algorithms to build a system that can detect errors.
Using machine learning models and artificial intelligence, only, can also provide a solution to this problem but the process of making such a system is quite cumbersome. It requires high-efforts from a team of data scientists, who would gather, sort, pre-process, and do various operations on the data. Data mining and preprocessing are quite hefty tasks. Then the task of training the model with proper and sufficient data sets is another task.
All these tasks require a large amount of time as well as labor. Hence, this approach isn’t suitable every time. And for such a big system, of error detection, with various features, it would be quite difficult to implement. Hence, with the combination of Computer Vision and Artificial Intelligence, Amazon has achieved great success. It has made the task of error detection in manufactured products quite easy.
In this way, it has helped various sectors like Healthcare by providing them the facilities to detect defects in the manufactured products. It has enhanced the quality and delivery of products by fast, reliable, and accurate defect detection. The world is looking forward to more such digital innovations.
To connect the real world with the machine, the addition of artificial intelligence in computer vision is quite necessary. Though, computer vision can be called a part of artificial intelligence. It has revolutionized the technological industry. Here we will see the basics of Computer Vision and Artificial Intelligence that have made the Amazon web service such an impactful resource.
Computer Vision
If you want the machine to understand the real world by providing real-time input in the form of images or videos then you are talking about Computer Vision.
In the era, when scientists are dealing with ways to train computers, computer vision plays a vital role. It teaches the machines to interpret the world using deep learning, machine learning, artificial intelligence, and much more.
It has various applications in lots of fields like agriculture, healthcare, defense, education, and much more. To deal with textual data, the algorithms have the basic training datasets but to deal with image input the algorithms need to be trained with high quality and high amount of dataset. The program must get what the image contains.
When we click a picture from our camera, the device understands the frames and the pixel orientation. But to deal with the comparison of images, various dimensions, color coding, positions, angles, etc. need to be considered. This helps in guiding the machine or the system on how to look towards an image, i.e., what are its values and qualities.
Hence, in the service provided by the Amazon, all the image processing, comparison, and other processes are handled by Computer Vision. This makes the process effective and efficient.
Hence, we had a look at the importance and aim of Computer Vision in the emerging technological field. Now, let’s have a look at Artificial Intelligence.
Artificial Intelligence
The word artificial intelligence itself states its meaning, it’s building intelligence in machines! Isn’t it great how artificial intelligence constantly trains the machines to think and act like humans? The main goal of artificial intelligence is to make machines independent.
Once trained, they should be able to do the specific changes as per the time requirement. The algorithm should be such that the machines don’t require human intervention at the time of any change in the input. The machine should be able to handle it on its own.
Though, this concept wasn’t accepted first but now it has changed the whole scenario. There are various implementations in this field ranging from Sophia to Alexa, Siri to Tesla, and much more and the list is increasing with each passing day!
The main aim of artificial intelligence is to increase the efficiency of machines and boost their computational power. This helps the machines to analyze their surrounding data with the help of various other technologies like machine learning, deep learning, big data, neural networks, and much more.
Though the task might seem quite hefty, which it is, it has helped in the improvement of various sectors like education, healthcare, automobiles, and much more, This has brought automation and digitalization in the industry.
In this way, Amazon Computer Vision Services helps to detect defects in manufactured products.
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