No denying, images are all around us.

With the advent of smartphones with cameras, it has never been simpler to take photos or videos and share them, which has led to the phenomenal growth of contemporary social networks like Instagram.

Text and images make up the internet. The best way to utilize image data is to use computers to see them. As technology advances, so does our ability to harness the power of computer vision. This technology is becoming increasingly commonplace in a variety of industries and settings, from retail and manufacturing to medicine and automotive.

There are a variety of ways that computer vision can be used. This technology is only going to become more prevalent in the years to come, so it’s important to understand how it works and what some of its common use cases are.

1. Use case in automotive industry

Computer vision is playing an increasingly important role in the automotive industry, helping to improve safety, efficiency and productivity.

One of the main ways it is being used is in autonomous vehicles. This technology enables cars to “see” their surroundings and make decisions accordingly. It is used for tasks such as object detection (e.g., other vehicles, pedestrians, animals), lane detection and traffic sign recognition. This information is then used by the car’s computer system to navigate safely and efficiently.

Another way computer vision is being used in the automotive industry is for quality control during manufacturing and detecting defects on early stages.

2. Use case in retail industry

The retail industry is another area where computer vision is having a big impact. In brick-and-mortar stores, CCTV cameras are often used for security purposes. However, they can also be used for things like customer flow analysis and heat mapping. This information can be used to optimize store layout, improve customer service and identify potential theft hotspots.

Computer vision is also being used in online retail, particularly for personalization purposes. By analyzing customers’ behavior (e.g. what they click on, how long they spend looking at certain items), retailers can make recommendations that are more likely to result in a purchase.

3. Use case in medicine

Computer vision is starting to play a role in medicine, both in terms of diagnosis and treatment. For example, it is being used to develop new ways of screening for diseases such as cancer. Using machine learning, algorithms can be trained to detect patterns that are indicative of a particular disease. This means that screenings can be done more efficiently and with greater accuracy.

In terms of treatment, computer vision is being used to create targeted drug delivery systems. By analyzing images of the body (e.g. from MRI scans), specific areas can be identified that need to be targeted with medication. This helps to improve the effectiveness of treatment and reduce side effects.

4. Use case in manufacturing

Computer vision is also having an impact in manufacturing, particularly when it comes to quality control and efficiency. By using cameras and algorithms, defects can be detected early on in the production process, before they become costly problems further down the line. This helps to improve the quality of finished products and reduce waste.

In terms of efficiency, computer vision can be used to track the movement of objects throughout the manufacturing process. This information can then be used to optimize production line layout and improve worker productivity. Additionally, by monitoring machines and equipment, potential problems can be identified before they cause downtime.

5. Use case in agriculture 

Agriculture is another area where computer vision is starting to be used. For example, it can be used for crop monitoring. By analyzing images of crops, patterns can be identified that indicate problems such as pests or disease. This information can then be used to take corrective action and improve yield.

Computer vision is also being used in livestock farming. Cameras can be used to automatically track the movement and behaviour of animals. This information can be used for things like breeding and health management. Additionally, by monitoring environmental conditions (e.g. temperature, humidity), farmers can make sure that their animals are comfortable and productive.

Key Takeaways

Computer vision is taking over almost every industry and we have managed to discuss only a few of many use cases. With this we must say that it enables us to automate tedious processes, increase the accuracy of diagnoses, increase agricultural output, and maintain safety.

Much more to discuss!

We can anticipate that computer vision will continue to be the catalyst for change across all industries as more businesses adopt the AI-first mentality. At Rewisdom.AI we are available to discuss what interesting use-cases of Computer Vision are in your business and help you build it.