Image Recognition

in AI Driven CRM Solutions

Image-based artificial intelligence is the future, and image processing is key to unlocking its many advantages.

What is image processing?

Often, there are two things that people think about when you say image processing – the process of enhancing an image or getting information from it. There are two types of ways to process images – Analog and Digital. So, what’s the difference?

The final output of analog image processing is a hard copy of an image such as photographs, posters, and other kinds of print outs. Alternatively, digital image processing is not limited to a static image. The output of digital image processing can be data on various features and characteristics of the digital image.

When it comes to artificial intelligence, there are so many industries that benefit from the many advantages of digital image processing. The common uses for image processing include biometrics, medical, surveillance, and more.

How is digital image processing used?

Digital image processing is useful in a variety of ways. Some of the common ones are data visualization, image sharpening and retrieval, and pattern recognition.

For image processing to work, images need to be augmented to maximize usability. After the image is acquired, it is then enhanced, restored, and compressed before being processed.

Next, images are morphologically-assessed. Images need to be annotated by trained AI or human beings. This process teaches the algorithm what it should recognize through detection, recognition, and segmentation.

Finally, images are translated by AI into values. Lastly, visualization software creates figures which are easier understood by human eyes.

Einstein Vision – A initiative

Salesforce Einstein had the right ideas in mind when they opted by not only using image recognition with computer vision but also to integrate it with valuable CRM data along with actionable insights. Some of the real-life applications that Einstein Vision used in image processing recognition included things like sentiment tracking by identifying when your company’s logos are used or shared on the internet.

Additionally, they were also used to detect inventory levels for businesses that needed real-time tracking for their stocks. With this, you could have set real-time alerts about your warehouse stocks without having to hire someone to check for you.

Combining AI and Human Empathy

With all the advances in artificial intelligence, there were still many things that machines don’t have nailed down yet. With the Salesforce Einstein shut down, many companies are still looking for qualified alternatives on what SFDC has started.

Hey DAN, a Voice to CRM company, realized an opportunity as they have worked with a variety of CRMs including SaleForce. Hey DAN Solutions use the power of machine learning-enabled image processing without missing out on the human empathy necessary to be both efficient and effective when dealing with customers.