Amazon's AmazonGo skip-the-line store has attracted the attention of the global media. In addition to marvel at Amazon's brains, people want to know how much black technology and Amazon's future imagination are hidden behind it. So in order to make this grocery store run smoothly, what secrets does Amazon have hidden? 　　
AmazonGo's queuing shop automation "secret" lies in the sensor recently, Amazon has taken the step of expanding its offline expansion, but they are not just simple to open a store, this time AmazonGo is actually using high technology. If the trial operation in the hometown of Seattle is successful, this model will begin to be promoted throughout the United States next year.
Speaking of AmazonGo's biggest selling point, I am afraid it is not necessary to queue up like a traditional supermarket.
Although Amazon has not announced the detailed working principle of the system, we can also see a lot of clues by introducing videos, FAQs and related patents. To make this new grocery store work, Amazon is like driving a self-driving car because they use technology such as computer vision, deep learning algorithms, radio frequency identification, image analysis and sensor fusion.
Camera and microphone in the world <br> <br> First of all, this grocery store crammed with a variety of cameras and microphones, when you scan code into the grocery store, the monitoring system will recognize who you are and all the way to "track" When you are standing in front of the shelf and ready to shop, the camera system on the shelf will start, it will take what you picked up and what items are in your hand when you leave the shelf.
Don't underestimate these cameras, they can even recognize the color of human skin and accurately find the user's hand through image analysis. The move is to reduce the failure rate of the camera system. After all, when shopping is more, two customers are likely to get goods on one shelf, and it is the most effective way to identify users through skin color.
At the same time, with his experience with Alexa Smart Assistant, microphones throughout the grocery store also play an important role. Through the sounds collected by the microphone, the system can know where the user is and what their actions are.
At the same time, the system can also get the user's behavior in the store by receiving the time difference of the audio through each microphone.
In the future, Amazon can analyze the data to derive user preferences and make corresponding cargo location and inventory adjustments.
Powerful ability to identify <br> <br> in patent applications last year, the Amazon described to us a system using radio frequency identification technology, the system can detect the user to pick up the action from the shelves, then it will be The relevant data is synchronized to the user's handheld device.
After the user has purchased the desired item, he or she can walk out of the grocery store. After passing through the specially established “transaction zoneâ€, the system will automatically recognize the user and then calculate the user's expenses and debit the Amazon account.
Amazon patent application related <br> <br> the same time, the system can use to record the user's identification to buy your goods taken from the shelves. For example, if the inventory management system is not sure if you are taking ketchup or mustard, it will make a judgment based on your purchase record. If you have only purchased ketchup before, the system will automatically determine the item in your hand as ketchup.
Magical <br> <br> sensor in the Amazon FAQ, we can find the figure of sensing fusion technology. With this technology, Amazon can fuse data from different sensors to improve system reliability and accuracy.
Sensing fusion technology works as follows: In many scenarios, data from other input devices can assist the system in determining the type of merchandise at a particular location on the shelf. For example, through a pressure sensor and a load cell, the system can determine if the item on the shelf has been removed or returned.
At the same time, with the image analysis, the system can find out in time whether the user misplaced the shelf when returning the product.
Through the integration of multiple data, the reliability and accuracy of the entire system can be greatly improved, and the management efficiency of the grocery store is also guaranteed.
Now Amazon's AmazonGo grocery store is only open to Amazon employees for the time being. If you want to enjoy the shopping experience of “going away and walkingâ€, I am afraid I will wait patiently for a while.
As for whether this system is more expensive to use than traditional supermarkets, I am afraid that only Amazon knows. However, for the wealthy e-commerce giants, it is worthwhile to burn money for the future. In addition, Amazon, which has already tasted the sweetness of the ocean of data, knows the importance of user shopping habit data, and the AmazonGo grocery store is a new experimental field for data collection. The wealth contained here may not be measured by simple numbers. .
(
AmazonGo's queuing shop automation "secret" lies in the sensor recently, Amazon has taken the step of expanding its offline expansion, but they are not just simple to open a store, this time AmazonGo is actually using high technology. If the trial operation in the hometown of Seattle is successful, this model will begin to be promoted throughout the United States next year.
Speaking of AmazonGo's biggest selling point, I am afraid it is not necessary to queue up like a traditional supermarket.
Although Amazon has not announced the detailed working principle of the system, we can also see a lot of clues by introducing videos, FAQs and related patents. To make this new grocery store work, Amazon is like driving a self-driving car because they use technology such as computer vision, deep learning algorithms, radio frequency identification, image analysis and sensor fusion.
Don't underestimate these cameras, they can even recognize the color of human skin and accurately find the user's hand through image analysis. The move is to reduce the failure rate of the camera system. After all, when shopping is more, two customers are likely to get goods on one shelf, and it is the most effective way to identify users through skin color.
At the same time, with his experience with Alexa Smart Assistant, microphones throughout the grocery store also play an important role. Through the sounds collected by the microphone, the system can know where the user is and what their actions are.
At the same time, the system can also get the user's behavior in the store by receiving the time difference of the audio through each microphone.
In the future, Amazon can analyze the data to derive user preferences and make corresponding cargo location and inventory adjustments.
Powerful ability to identify <br> <br> in patent applications last year, the Amazon described to us a system using radio frequency identification technology, the system can detect the user to pick up the action from the shelves, then it will be The relevant data is synchronized to the user's handheld device.
After the user has purchased the desired item, he or she can walk out of the grocery store. After passing through the specially established “transaction zoneâ€, the system will automatically recognize the user and then calculate the user's expenses and debit the Amazon account.
Amazon patent application related <br> <br> the same time, the system can use to record the user's identification to buy your goods taken from the shelves. For example, if the inventory management system is not sure if you are taking ketchup or mustard, it will make a judgment based on your purchase record. If you have only purchased ketchup before, the system will automatically determine the item in your hand as ketchup.
Magical <br> <br> sensor in the Amazon FAQ, we can find the figure of sensing fusion technology. With this technology, Amazon can fuse data from different sensors to improve system reliability and accuracy.
Sensing fusion technology works as follows: In many scenarios, data from other input devices can assist the system in determining the type of merchandise at a particular location on the shelf. For example, through a pressure sensor and a load cell, the system can determine if the item on the shelf has been removed or returned.
At the same time, with the image analysis, the system can find out in time whether the user misplaced the shelf when returning the product.
Through the integration of multiple data, the reliability and accuracy of the entire system can be greatly improved, and the management efficiency of the grocery store is also guaranteed.
Now Amazon's AmazonGo grocery store is only open to Amazon employees for the time being. If you want to enjoy the shopping experience of “going away and walkingâ€, I am afraid I will wait patiently for a while.
As for whether this system is more expensive to use than traditional supermarkets, I am afraid that only Amazon knows. However, for the wealthy e-commerce giants, it is worthwhile to burn money for the future. In addition, Amazon, which has already tasted the sweetness of the ocean of data, knows the importance of user shopping habit data, and the AmazonGo grocery store is a new experimental field for data collection. The wealth contained here may not be measured by simple numbers. .
(
Maskking(Shenzhen) Technology CO., LTD , https://www.szdisposablevape.com