Discover how computer vision techniques are revolutionizing crop management through the use of drones. Explore the specific type of computer vision employed to identify and remove weeds growing between rows of crops. Learn about the significance of scene segmentation, optical character recognition (OCR), and object detection in this innovative approach. Optimize your crop management practices with advanced computer vision technologies.
Table of Contents
Question
You use drones to identify where weeds grow between rows of crops to send an Instruction for the removal of the weeds. This is an example of which type of computer vision?
A. scene segmentation
B. optical character recognition (OCR)
C. object detection
Answer
C. object detection
Explanation
Object detection is similar to tagging, but the API returns the bounding box coordinates for each tag applied. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image.
Incorrect Answers:
B: Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.
C: Scene segmentation determines when a scene changes in video based on visual cues. A scene depicts a single event and it’s composed by a series of consecutive shots, which are semantically related.
The correct answer is C. object detection. Object detection is the type of computer vision that involves locating and identifying objects in an image, usually by returning a bounding box that indicates the location of each object and a label that indicates the class of each object. Object detection can be used for applications such as face detection, vehicle detection, pedestrian detection, etc. In the scenario of using drones to identify where weeds grow between rows of crops, object detection can help to find the weeds and distinguish them from the crops, and send an instruction for the removal of the weeds.
The other options are incorrect because:
- Scene segmentation is the type of computer vision that involves assigning a label to each pixel in an image, based on the object or region that the pixel belongs to. Scene segmentation can be used for applications such as scene understanding, medical image analysis, autonomous driving, etc. In the scenario of using drones to identify where weeds grow between rows of crops, scene segmentation can help to segment the image into different regions, such as soil, crops, weeds, etc., but it does not provide the location and identity of each weed.
- Optical character recognition (OCR) is the type of computer vision that involves extracting text from an image, usually by returning a bounding box and a text string for each word or character in the image. OCR can be used for applications such as document scanning, license plate recognition, text translation, etc. In the scenario of using drones to identify where weeds grow between rows of crops, OCR is not relevant, as there is no text involved in the image.
Reference
- Microsoft Learn > Power Platform > AI Builder > Overview of the object detection model
- Microsoft Learn > Azure > Cognitive Services > Computer Vision > OCR – Optical Character Recognition
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