What is computer vision?
Computer vision is a branch of artificial intelligence that instruct computers to explain and comprehend the imaginative world; with the assistance of multimedia images from cameras and videos recording and deep learning versions, devices can recognize and categorize the items correctly, and then they give the result according to what the image they see or scan just as humans do. Up till now, computer vision has restricted the capacity in which they worked.
What are the types of computer vision?
Different types of computer vision applied in different ways based on the Awareness of the images.
- Image segmentation:
Cut the image into pieces or regions so that each part is scrutinized individually.
- Object detection:
It Detects and identifies the items present in a picture. Develop object distinguisher and recognize innumerable objects present in an image.
- Facial recognition:
It is a progressive kind of object detection that identifies a human face in a picture and recognizes a specific individual or person.
- Edge detection:
The approach is used to detect or identify an item or landscape’s exterior boundary to recognize the picture better.
- Pattern direction:
It is a procedure that identifies shapes, colors, and other different visual signals present in the picture.
- Image classification:
It is used to categorize images or pictures in different groups.
- feature matching:
It helps identify and match the same objects or similarities in an image and categorize them. Feature matching is also a type of pattern detection.
How does computer vision work?
Computer vision works in three fundamental steps.
1. Acquiring an image:
Pictures or even large sets obtained from images, videos, or 3D Technology for examination in no time.
2. Processing the image:
Deep learning Prototypes do most of the process automatically.
3. Understanding the image:
The final or last step is analytical, where the object present in the picture is categorized or recognized.
What are the uses of computer vision?
The problems which are solved by computer vision depict its importance. It is one of the significant Technology links between the digital world and the physical world.
Computer vision allows automatic cars to sense, identify or read their surrounding by capturing videos and pictures around the automobiles and input it into computer vision application. It can then scrutinize the road by detecting other cars, items, pedestrians, or reading traffic signs in no time, and the automatic car, according to data feed in it, drives its way to the passenger’s destination.
Computer vision also played an essential role in the health department. It can help detect cancerous cells on the skin or find any symptoms through an x-ray or MRI.
Computer vision also has more advanced applications, such as a smart home security camera, which continuously sends the video and images of your home and allows you to analyze the footage manually. Using this application, adjust it to automatically notify you if something unusual occurs in or near your house, such as fire catches in your home or some intruder hiding near your house. This can rescue plenty of your time by assuring you that someone is watching your house all the time.
What are the advantages and disadvantages of computer vision?
Whether private or public, almost every zone can be benefited from computers by analyzing, tracking, or interpreting their surroundings. As more companies realize the worth of computer vision and machine learning, the more we see this Technology affecting our daily lives.
Advantages:
- Improve online merchandising:
As online Merchandise sales product with different qualities, structure or color customer have to write every detail about the product to find the specific one, however, computer vision narrows down the process and make it easier for the customer to buy the product by showing the images so that customer can buy products of their own choice.
- Unique customer experience:
Services in apps like Snapchat and animoji are considered unique experiences as facial mapping, augmentation, and manipulation are new in the mainstream market.
- Seamless store experiences:
Customers do not have to stand in long queues for shopping, but online stores make it easier for the customers and the company.
Disadvantages:
The main disadvantage of computer vision is privacy. Every detail or picture or anything you do is stored somewhere, which is a breach or high risk to your privacy. Computer vision analyzes numerous images and videos, and the chances are that your data may be in one of them.
Hope the readers would have more clarity after reading this piece. Any comments or suggestions are welcome as we strive to make technology easier for everyone.
