Image analysis is a task within the domain of computer science, which is the study of how to process and store data. It refers to implementing computing algorithms applied to digital images to extract meaningful information that can change over time.
It has applications in many domains, such as medicine, criminal justice, engineering, and scientific research. In these domains, it is used primarily for tasks such as image segmentation. These tasks are accomplished by taking many images and comparing them against each other using processing power similar to that used in neural networks.
Why Should a Brand or Company Care About Image Analysis?
There are many reasons for a brand or company to care about image analysis. It will be increasingly critical as the technology and ability to process images further advances and becomes more accessible. Being able to segment images to gain actionable insights can provide brands and companies with a competitive edge.
The company using the analysis can gain priority access to valuable information that can improve its products, services, and customers. It will help brands and companies identify problems in their stores much earlier than they might have been able to before. This way, brands can keep customers happy and prevent them from leaving without a complete product or service they paid for.
Importance of Image Analysis
1. Create actionable insights.
It can help a company gain actionable insights from images that they have captured from their customers. For example, after analyzing thousands of photos taken by customers at your restaurant, you notice that many customers leave without paying for the food they have eaten. It could be due to various issues. Maybe there is an error in your bill collection process, or your wait staff isn’t motivated to find out why the customer isn’t paying before sending them on their way. Through the analysis, you can identify the problem and take action to correct it immediately.
2. Identify issues early.
When a store receives a lot of images from its customers, it’s easy for the store to miss potential issues. It holds especially true if the store sells products of low value. If a customer takes a few photos and returns the product, it might be hard to catch this and thus could go unnoticed by staff. By analyzing images associated with those customers who have returned items, you can notice when a customer has returned an item that was defective or missing something. It can help prevent similar problems in the future.
3. Design packaging better for different needs & demographics.
How a product is packaged is an essential factor in whether or not customers will buy it. It’s also a significant factor in getting repeat purchases. Image analysis can help the company package its products in more appealing designs than its competitors.
4. Use to detect fraud, shoplifting, and other crimes.
Brands and companies who generate images are responsible for knowing what is happening in the background of these images, especially if some criminals or shoplifters could steal valuable products around them. By analyzing images, brands can help monitor stores where they have placed cameras and ensure that a theft has not occurred without having to watch everything they observe physically.
5. Determine traffic flow.
It can help businesses determine the flow of traffic through their store. It allows companies to understand better where their customers are most likely captivated by products and services. Businesses can then make changes to set up portions of their store to encourage customers to spend more time or money in certain sections versus others.
Brands and companies need to care about image analysis because it is becoming a more powerful tool. With today’s technology, it won’t be easy to know what information is significant when applied to large amounts of images.