Over the past decade, Artificial Intelligence and Machine Learning are automating the distinct fields which are creating the next generation to the digitalization, where the neural networks are exceeding human performance by merging the object recognition system in their fields such as Healthcare, Geospatial, Safety, and Security, Media, Industrial, & Retail. However, Object Recognition is not just to distinguish between images of cats and dogs, but it is a very challenging feature where minor to major objects should be detected with high-resolution quality, and it often requires analyzing multiple features to make an accurate diagnosis.
What is Object Recognition?
The scanning of objects is called "Object Recognition", which increases the accuracy and speed of visual tasks, which reduces mistakes, threats, costs, and saves time. Every high-tech field is using object recognition, from supply inventory to authenticate materials, laboratories to satellites, actions to radiology, by training the AI for object recognition from the images. The main goal of object recognition is to detect the particular objects in the image. This is a powerful tool especially for those who are unknown with the basic vocabulary or how to drive the online searches. It breaks down the language barriers so anyone across countries & culture can search it.
How Scanning Applications are used?
Scanning applications are used for both, professional as well as personal use cases, which solves the problems like note-taking, writing highly comprehensive information, understanding complex writing, and language. These all issues would be solved by the latest technology-Object Recognition in Scanning Application, which is replacing the physical scanner and is deploying the helpful features such as scanning the business cards, legal documents, or the occasional form. And as the scanning is available in smartphones, you can access the scanner anywhere, anytime without any hassle of depending on the physical scanners at stores. There are also other functions that differ from the applications like scanning the receipt quickly at a restaurant, capture pages from the rare books at the library, or even sending the bills and reports.
1.) Different Scanning Applications:
iScanner iOS Application:
Drop a box of pens on the floor, and the iPhone will count for you that how many are there to pick up. This is an unusual feature of the iPhone "iScanner Application" which saves a lot of time for individuals and businesses. The iScanner uses the OCR technology to identify the text from scans so you copy-paste or edit text. This feature of Count Mode is very useful from anyone to anywhere to anytime around personal use to professional use like homes, inventory, merchandising, and many more. You can scan anything from receipts, documents, books, fax papers, business cards, paper notes, ID cards, passports, bank cards, etc.
Google can detect the object and displays the information such as its brand, creator, author, price, etc. In short, the users can also scan the plant or animal, and a window will pop-up to describe their species/breed. For example, in the below image, the Google Lens detects a dog and identifies its breed.
Snapchat & Amazon:
Snapchat has merged with amazon and rolled out a new feature where Snapchat cameras can identify the amazon product through a snap of an object or barcode, and if a product is available on Amazon, details will be pop-up giving users the option of clicking through amazon’s website or application.
Scanning the objects from the Books in Libraries:
DotDotGoose application was released by the American Museum of Natural History which uses this application as a tool to count the objects in images.
2.) Count the Objects:
The scanning application has a unique feature “Count Mode” which counts the objects
For example, the Chooch IC2, CountThings, IBM & DotDotGoose uses visual AI to count the objects and tag items. What’s exciting about the applications, is that you can train the application to count the new objects and recognize them for later use.
CountThings are expertise in the current software techniques which includes advanced algorithms, as well as user-experience designs, and its best and user-friendly platform for counting the objects just by deploying the image in the application. The "CountThings" Application automates the counting process and converts it to videos as well as images. The best use of the CountThings application was used in counting the number of logs in a pile in stock and supply industries.
Count Houses on Google Maps:
The application will take an image(png, jpg) or PDF file of the map. From there it would be exported to the application where you drag the area you want to search. After clicking the Count button you will get the results.
Count Tubes and Pipes:
It will count the number of tubes and pipes from the image exported to the application, where they have to drag the image and select the part in which they want to count. And in a result, you'll get the results of a total number of counts.
The same process goes with the Counting Logs, Long steels, & Metal Sheets.
Count and Sort by Sizes:
This is a unique feature than all, where you will get the count according to the different sizes. For instance, in the below example, there are different types of balls in the image, the scanner will sort with the size. You will get the count of different balls with their sizes.
Other scanning application like iScanner & CountThings, have advanced fields which are core used in the high-level platforms and high-tech companies, Google, Snapchat, Amazon, & eBay.
Recent breakthroughs in Object Recognition in Various Fields:
In America, 100,000 Americans die or become disabled due to the physician's diagnostic mistakes. Therefore the object and image recognition is necessary for examining the diseases or objects used in the operation or hospitals. By assisting with medical imaging diagnoses, Object recognition can reduce the errors and remove some of the load from the doctors and can also increase efficiency. For instance, in 2016, the research team of Harvard Medical School & Beth Israel Deaconess Medical Center developed the AI system, to anticipate the pathology images. Deep learning can recognize the cancerous and non-cancerous lymph node cells at 92 percent accuracy.
Visual AI Geospatial Solutions:
Satellite imaging is exceeding the limits of the human ability to analyze & interpret data. Therefore, governments, militaries, other commercial organizations are turning towards AI to process and analyze geospatial imagery. Chooch AI empowers geospatial analysis through dense classification, object detection & rectangular/polygonal segmentation. It provides the analysis for infrared, electro-optical, synthetic aperture radar, from any source. This feature exceeds the human visual capabilities in which objects on the ground are identified under 0.1 seconds.
Safety & Security AI:
With the proliferation of cameras and sensors, AI is alleviating in various fields such as airports, industrial sites, workplaces, and public spaces.
AI platform is helping security teams in detecting and analyzing objects. For instance, in Covid-19, Chooch platform can detect the social distancing and PPE compliance. And other features are
- Ensure that at sites, the workers are wearing the protective shields and if not, it will alert the head. The advantage is that it will lower the risks and threatening events.
- Facial authentication for workers at sites & vehicle identification for license plates, boundary breaches and water or heat detection.
Fashion Industry AI:
It is said that an image is worth thousands of words and therefore, 67% of Fashion Industry are using the image more often than a lengthy product description. With the emergence of social media, millions of photos are shared online, and hence, Media Industry is using social media to showcase their brand and products. Therefore, using the images with tags, captions, and other metadata is helping them to locate the brand. For instance., By using object recognition technology, you can tag people, the designer of the clothing, cost of the item.
AI in Fashion Industry - Fashion Industry is integrating with Artificial Intelligence for head-on competition in Market
Artificial intelligence is alleviating the mediocre methods of acquiring information with the help of scanning the text and objects through the images and is advancing various fields from healthcare to Education & Security to Geospatial Solutions. Therefore, Digitalization is the main key of the Technology that would replace the time-consuming work with automatic and fast technologies.