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TopSome of the methods are discovered over the last couple of years on the image processing technique using OpenCV for object detection. There are several ways for extraction and identification of the number from the number plate. Moreover, there are also several algorithms designed in order to recognize the face. Additionally, IoT draws attention to the security of possession remotely. So, we can see (Table 1) the different ways that are carried out in previous years (Reddy, Marla, Favorskaya, Satapathy, Singh, Bansal, Kamal, & Kumar, 2022).
In the last four years, there has been a drastic change in the development of smart and intelligent security system. Over the year, various systems are developed which enhances their previous shortcomings. But some of the challenges persist which needs to be eradicated. These challenges include accuracy, proper orientation, high resolution and limitations of hardware components used (Reddy, Marla, Favorskaya, Satapathy, Singh, Bansal, Kamal, & Kumar, 2022).
As the main aim of any algorithm is to ensure accuracy, consistency, efficiency and reliability. Hence it becomes more important to cover all the possible cases and deals with them in such a way that the algorithm provides the best result along with accuracy, efficiency, and consistency. In the case of image processing techniques, there are so many such cases that are not deal which reduces the accuracy rate. Such cases are orientation, resolution, and any hardware challenge. So these all cases need to consider which brings out accuracy and consistency (Sharma et al., 2020; Singh, Bansal, & Kumar, 2020).