Propel your way to visual data accuracy
When we think of data, we usually picture written information. Yet, images are just as crucial for capturing customers’ attention and providing them with clear and reliable insights. Having accurate images is also important for effectively running internal processes such as maintaining product information, user information, and more.
Your images should be relevant and up to date to ensure a clear and organized collection. Maintaining this standard becomes increasingly difficult due to the vast number of images and their individual characteristics. While AI has already streamlined routine tasks for many businesses, can it offer similar benefits for image management? Yes—so how? Let’s find out.
What you see is what Vision AI sees
Just as AI can generate and understand text in a way similar to humans, it can also be trained to interpret and analyze images—much like human vision. This capability is known as Vision AI. With Vision AI, you can assign image-related tasks such as validation and duplicate detection to AI, ensuring accuracy while saving time and reducing manual effort. Below are some key applications of Vision AI.
Classify images and detect objects
AI can classify images and detect specific objects within them. For example, if an image depicts a room, AI can identify it as such and recognize elements inside it—such as furniture, walls, doors, and other objects. Beyond detection, AI can also validate whether an image meets predefined criteria, determining its relevance.
For instance, if you are building a database of room layouts for an interior design business and an image of a playground is mistakenly included, AI can evaluate it and flag it as invalid because it does not meet the required condition of being a room.
Image segmentation
Similar to object detection, image segmentation helps isolate parts of an image for analysis. While object detection identifies the presence or absence of objects, image segmentation goes down to the pixel level to provide detailed information about objects, including their dimensions, shape, and other characteristics.
Identify duplicate images
Duplicate detection allows you to identify whether a specific image has matches and locate those duplicates, including facial images. This helps minimize the risk of identity confusion. This function is particularly vital when managing a large volume of images, as duplication can cause significant disorder, potentially leading to errors and the extensive effort required to correct them.
Video analysis
While Vision AI can analyze and perform various actions on images, it can do the same with videos. AI can effectively interpret video data, enabling it to recognize objects, actions, and scenes. This capability supports applications such as security monitoring, content moderation, and real-time analytics.
Visual search
Despite the widespread use of text and voice searches, visual search is rapidly gaining traction due to advancements in computer vision. Just as we search for information using text or voice, visual AI allows us to locate data using images. Trained on a vast array of images, Vision AI uses these images as references to assess submitted visuals and deliver relevant search results.
Character recognition from images
While text and visuals are different forms of data, there are instances where text appears within images. The textual information contained in these visuals may include crucial data essential for business operations. Manually extracting this information can be extremely challenging and prone to errors. Vision AI simplifies this process by identifying text within images and automatically extracting it instantly.
AI CRM with a visual touch
Given the growing importance of images and videos in business operations, maintaining their accuracy is just as critical as preserving accurate textual data. Zoho CRM addresses this need by leveraging Vision AI features through Zia. With its wide range of AI capabilities, Zia reduces the burden of essential yet time-consuming tasks, allowing teams to focus on improving customer interactions and experiences.