It is no longer possible to ignore the importance that the Object Recognition API has taken in recent years.
It has become practically impossible to design a serious web or app project without using these types of tools.
That is to say, yes, you can choose not to use it but you would be running from behind your competitors and in this reality in which there are so many options when contracting a service, not even the slightest advantage can be granted to others.
Once we have touched on this topic, we can now address the benefits and how this Object Recognition API works and makes your work significantly easier.
How does this Object Recognition API‘s AI work?
Object detection is a computer vision technique that recognizes and locates objects in images or videos. Object detection, in particular, draws bounding boxes around detected objects, allowing us to determine where these objects are in (or how they move through) a given scene.
Because object recognition and image detection are frequently confused, it’s critical to understand the distinctions before proceeding.
Image detection labels an image. A picture of a dog is given the label “dog.” A photograph of two dogs remains labeled “dog.” Object Recognition API, on the other hand, draws a box around each dog and labels it “dog.”
The model predicts where each object will be and what label it will receive. In this sense, our Object Recognition API provides more information about an image than detection.
Can I get the positions of the objects using this Object Recognition API?
Yes, you can because video monitoring is one of its main functions or one of its most popular applications.
Because they can accurately identify and track multiple instances of a given object in a scene, modern object detection techniques are well suited to automated video surveillance systems.
For example, this Object Recognition API can track multiple people in real-time as they move through a scene or across video frames. From retail stores to industrial factory floors, this type of granular tracking could provide invaluable insights into security, worker performance and safety, retail foot traffic, and more.
Consider how useful it would be for a state to be able to track a stolen vehicle or pursue fugitives across the city without putting a fleet of officers at risk, but rather by using the security camera system.
Consider a much smaller space, such as a shopping mall, where they have discovered that a thief has taken products hidden in their clothes. The monitoring camera system alone could track or even map the thief’s route in a matter of seconds, allowing the subject to be apprehended.
It makes no difference if the criminal act occurred a few minutes ago because the subject is identified and the rest are images that were taken all over the mall anyway.
We hope we have been able to explain how the Object Recognition API works and the importance of this API.
Also published on Medium.