## 3 Experimental Data and Results
### Usefulness of Camera-Based Optical Communications in the Detection Process
#### 3.1.3 Projective Exposure of Regressive Transformations by Parameterizable Methods and Histograms
The differentiation is made when the output has the shape M \(\times\) N \(\times\) 3, having a three-dimensional shape. The dimensions of the display matrices that are generated depend very much on the screen size of the device from which the measurements take place. If the amount of data is extremely large, then the data are divided into much smaller streams, and there is an image conversion. Due to the inability to access the road infrastructure, the measurements regarding the ability to resonate with the proposed solution were evaluated according to the same characteristics presented outdoors, only in a controlled environment. In the case of VLC communication on the outside of its implementation in a traffic light system, it is not allowed, or the installation of light displays on the main arteries of some traffic signs is contrary to the legislation in force. That is why for the second stage of the tests we worked on creating miniature city intelligent intersections and lighting systems based on communications of this type. Therefore, the distances for the interior scenarios were kept, and according to the presentations, the Euclidean distance was compared with the key matching points for a projective framework in the calculation of the transformations. Therefore, the next stage was the one in which the frame deformation and the data analysis were performed by quantization calculations and information binarization. According to the specified literature, we finally had the data set initially transmitted as a comparison frame T (x) by calculating the correlation between them. Thus, the following iterations refer to the deformation of the data frame, by comparing the initial frames and the quantitative binarization in determining the correlation. In the descriptive Tx detection process, there is a possibility of losing the path and background noise to disturb the data quality. This similarity is found in most communication systems; loss of path and disturbance of ambient light or light sources can perforate communication and disrupt the connection. Therefore, the speeded-up robust features algorithm can adopt a necessary and extremely robust detection technique in the recursion of the Rx process. It is invariant about the detection scale and allows a wider range of applicability but also an extrapolation in terms of the visual field. It benefits from pixel-perfect accuracy and has a descriptor calculated for each key and point, an aspect that gives it uniqueness in the way it identifies data (see Figure 10). The exposure of the key points found in the detection frame needs a pre-learning process; once those frames have been recorded, the matrix prediction of the transformation is calculated, later being used in the correction process. We need to keep in mind that a binary process and a symbol interface are needed to establish the analyzed pixels compared to the lux-ambient brightness level and the distance between Rx and Tx; cell capture and recording may be obstructed. Binarizing all the pixels in the image is a necessary solution to be able to obtain a granularity and a smoothing of the pixels to reduce the mirroring effect of the received signal. The information content is represented by black-and-white gradient images; in a standard initial process, they are captured in the form of RGB, and each pixel in the image has a representation of three types of component color intensity. The conversion is in gray tones and returns pixel by pixel until the degree of illumination level is positioned on a range between 0 and 255. In this conditioning, the initial process is constrained by restoring states and iterating states to reduce errors. In conditions where the distance is quite large, the irradiation of the VLC signal decreases substantially being influenced by the backlight having a low SNR.