Using image recognition technology is widely accepted now. So let’s see how it affects the industry. Also, what are the following pros and cons of this new technology?
What Is Image Recognition Technology?
Image recognition technology is also known as computer vision. It is a process of identifying objects in digital images that are displayed on computer screens. This technology allows the computer to recognize the image that is displayed on the screen.
Image recognition technology can be implemented through various methods. One of these is by using machine learning.
Many algorithms are used for image recognition technology. These algorithms can be used alone or can be combined to achieve better results.
Examples of these algorithms are SVM, neural networks, and k-nearest neighbors.
What Are The Advantages Of This Technology?
Image recognition technology has many advantages.
Here are the following examples:
- It can recognize the image without any prior information about it.
- No matter how distorted the image becomes, this technology can still recognize it.
- It can be used in various fields such as biometrics, surveillance, and robotics.
- It can run on any device that has a processor and an internet connection.
What Are The Disadvantages Of Image Recognition Technology?
Even though technology has numerous advantages, there are still disadvantages.
It includes the following:
- High Cost
A high cost of implementation is one of the most significant disadvantages of this new technology. Because it increases the overall cost of the project where this technology will be applied.
- A More Complex System
Applying image recognition requires a more complex system than using traditional technologies. Traditional technologies use only one input variable. While technology uses more input variables which makes it more complex.
- Limitations
There are limitations to using this new technology. It cannot function properly in environments with extreme lighting or conditions like nighttime where there is little or no light at all.
How Can Image Recognition Technology Be Improved?
To improve technology, there must be further efforts made to improve it. So that it will have an even bigger impact on our lives.
Here are some of the followings ways to do so:
1) Create Better Algorithms
We should create better algorithms for other applications aside from security systems and law enforcement.
2) More Advanced Computers
We should create more advanced computers so that they can perform tasks faster.
3) Faster Internet Connection
We should have a faster internet connection so that we can have a better experience when using our computer.
4) More Data
We should collect more data so that we can train our algorithm better
5) Better Sensors
We should develop better sensors so that they can be used for various applications.
6) More Unique Data
We should collect more unique data so that the algorithms will have an even better understanding of what it is trying to recognize.
7) More Powerful And Cheaper Devices
We should make powerful and cheap devices that are also compatible with this technology.
8) Better Software
We should create better software so that we can use image recognition technology more efficiently and effectively.
