Do you want to know how object recognition APIs can improve your checkout system? If so, keep reading to find out!
Given the massive amount of unstructured data circulating on the Internet, many companies started to integrate deep learning technology into their applications and products. Among the new applications they started using is object recognition, which is now more necessary than ever. This one is the practice of categorizing and labeling photos based on what is seen in them. Semantic segmentation and object classification are some of its names.
Why is this technology important? For instance, in order to avoid crashes when autonomously driving, self-driving cars must be able to identify various items on the road, such as pedestrians, cyclists, or other vehicles. Thus, object recognition APIs have been in use for some time in a variety of sectors, including marketing, healthcare, retail, and more.
How Can Object Recognition APIs Improve Your Checkout System?
The main goal of retail businesses is to provide the best possible client experience. Applications that provide meaningful data on user activity, like object recognition APIs, help to achieve this goal. Retail businesses might streamline their workload, for example, by keeping a watch out for long lines at the checkout. When wait times exceed a predefined level; staff members can be immediately reminded to provide more assistance.
Object recognition APIs can also ascertain when customers require assistance with product selection by analyzing how long customers stare at things; or if they pick up a number of goods without making a decision. As a result of those actions, staff members may be informed to go through particular areas of the store and offer assistance.
Furthermore, with the help of an object recognition API; it will be possible to have frictionless checkout systems. Customers can simply select items from the shelf; and AI uses sensors, cameras, and computer vision to generate a “virtual” shopping basket for them. Customers can then pay for such items at a contactless kiosk; or simply exit the store without checking out if a fully automated checkout system is in use.
The use of this kind of API is also automatic and straightforward. This is because all you need to use one is a computer; an internet connection, and a trustworthy API provider that provides object recognition. As a result, we advise beginning with Clapicks, a trustworthy API that has recently been extremely famous due to its effectiveness.
How To Get Started With This API Right Away!
Clapicks is the API you need if you’re seeking for real-time object recognition. This API can be used by businesses to classify and search through the images in their databases. Additionally, utilizing this API, which combines image interpretation and specialist resources; you may automate the process of analyzing, categorizing, and identifying using enormous databases of scattered photographs. Simply follow these steps to get started:
- Open a Clapicks account by first registering. An API key will then be provided to you, which you must use each time you contact the API.
- Before performing any API calls, you must validate your API key. This process is simple and quick. Your API key can be promptly verified by by adding your bearer token in the authorization header.
- Enter the URL of the image you wish to categorize after that.
- Make a call to the API last but not least, and then wait a brief while for the results.
Related post: Why Manufacturers Should Use An API For Object Classification
Also published on Medium.