Object Detection Technology
Read Time 4 min

AI machines have become an essential part of our daily lives. In the object detection field, machines are focused on recognizing the objects through identification skills. Object detection is the procedure to find real-life objects like a human, plant, a vehicle in videos, or still images. For a better understanding of the object in the picture, it recognizes, detects, and localizes multiple objects in the image. Tech Giants like Google & Microsoft are investing in object detection technology.

The object detecting technology is associated with Computer Vision which interprets digitally captured images or videos in order to deduce and understand the content. The system identifies the location and presence of the required object within the image. Each pixel in the image is focused and the input image is loaded in the network. After that, the object is detected to generate output in which the target object is classified in bounding boxes.

What is Google’s Vision API?

Google encapsulated it’s artificial intelligence model in an API to enable the developers to access the vision technology. The Vision API allocates images into different categories and sensible labels are assigned to them. It can detect even small objects, individual faces, and text in an image. This API can analyze the image accurately as per the exact scale. What’s greater is that the developers can also build their own custom models through this flexible API.

Google Cloud is offering a computer vision product known as Vision API for predicting images accurately. The Vision API through RPC AND REST API already consist of predefined machine learning models. The images are assigned with labels and classified as per the predefined categories. It can read data, detect faces and objects, and add valuable metadata to the image catalog.

To find an object or a person? Confident or nervous? Use Google API to know the exact details about the images. A wide range of industries is using computer vision for object recognition and detection. It’s used for image retrieval, surveillance, security, machine inspection, and automating vehicle systems, therefore, opening up endless possibilities for industries in the coming future.
Exemplary Features of Vision API

Features Description
Optical Character Recognition(OCR) It reads the text in dense images such as PDF documents.
Image Property Detection Check for the image attributes and features such as the dominant color in the image.
Label Detection Add labels to the image-based upon its content.
Face Detection A set of images is provided, the faces present in the image are detected.
Landmark Detection Detect the geographic landmark present in the image.
Logo Detection Detect the company logo present in the image.
Safe Search Detection Detect images and videos to avoid undesirable and unsafe content.
Crop Hint Suggest vertices for cropping the image region.

Vision API Industrial Applications

Automobile Industry

Automobile industries are rapidly heading towards manufacturing advanced self-driving cars. The machines are trained to detect street edges, slope changes, and objects for preventing any collision in the route. The autonomous machines are decreasing road accidents and strictly follow traffic rules.

Gaming

The image detection and recognition technology changed the whole gaming industry. The advanced technology-enabled the gamer to use their real-time location as a battleground for adventure. Microsoft is in the way to develop a 4K webcam which will be compatible with the Xbox. Simply log in to the Xbox through face recognition to enter the virtual gaming world.

Healthcare

Object detection technology is immensely helping the healthcare industry. It has brought meaningful changes in the whole journey of patients. In the microsurgical operations, the robots are powered with computer vision for detecting medical instruments and to avoid any foreign body retention. Real-time emotions of patients are detected to analyze how patients are feeling.

Grocery Retail

In high traffic supermarkets, AI-based computer vision is integrated into hardware to automate product delivery services. The system detects the gaps in the shelves and asks for real-time check for product availability and requests immediately for out-of-stock products. Planograms are used by the brands to detect the no-gap/semi-gap/gap in a particular section. If a product is missing or misplaced at the inventory level real-time data updations are delivered.

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PRICING

Every feature that has been applied to an image is a billable unit. For example, if Face Detection and Label Detection have been applied to the same image, then the user shall be billed for one unit of Label Detection and one unit for Face Detection.

A table has been illustrated below that reflects the price for each feature per 1000 units. Pricing is tiered. The first 1000 units used each month are free and the units 1001 to 5,000,000 are priced as marked, etc.

Reference: https://cloud.google.com/vision/pricing 
(as on August 2020)

Conclusion

At a low cost, you can use Google’s Vision API to fulfill a plethora of purposes. Today, organizations across the world are harvesting benefits from the object detecting API at a very large scale. The developers at APPWRK IT Solutions possess good knowledge and industrial experience of implementing Vision API. If you are interested to know more about the Vision API integration, don’t hesitate to contact us.

ABOUT AUTHOR:

Sushmita Sen

Sushmita Sen is a technical content writer at APPWRK IT Solutions, a company that caters to the diverse IT requirements of individuals and enterprises in the United States region. She loves to write about the latest digital trends and possess an in-depth knowledge of topics like front-end development, back-end development, mobile app development, and much more.