The principle of industrial machine monitoring and vehicle camera transmission system are focusing on this paper. Video compression is widely used in many industrial applications like continuous monitoring of machines which consumes more storage by capturing every motion detection in machine, hence video coding is highly recommended for video compression without any loss in the actual video. By using wavelet transform delivers the superior localization both in frequency and time domain and its results showcases the better performance while comparing with discrete cosine transform. A comparative analysis has been carried on Video compression using Haar and orthogonal (Daubechies) wavelet. Duplicate coefficients of discrete wavelet transform is reduced by using quantization technique. It aims to attain minimum error while preserving the high peak signal to noise ratio and image quality in the acceptable range. Using PSNR as measure of quality, this paper shows that Daubechies wavelet provides the better quality of video compared to Haar wavelet. Evaluation of performance is depends upon on compression ratio, PSNR, MSE, and SSIM.

The framework should work under both function cooperation and function convergence models, support cloud-network-terminal cooperation and convergence, and bring the basic radio capabilities of cooperative sensing, cooperative machine learning, and deterministic transmission with higher reliability and data rate. Integration of sensing and communication (ISAC) offers two advantages over dedicated sensing and communication functionalities: 1) gain in integration to more effectively use crowded resources and 2) gain in coordination to balance dual-functional performance. ISAC has lately been proposed for a variety of new applications such as automotive networks, environmental monitoring, remote sensing, IoT, smart cities, and indoor services such as human activity and gesture detection, all of which benefit from these two benefits. More crucially, ISAC has lately been highlighted as a key enabler for B5G/6G and next-generation Wi-Fi systems. The goal of this study is to figure out how sensing and communication can work together to give 6G new capabilities and services.

In wireless communication system, Signals are distorted due to noise, fading of multipath and interference. Different methods are used to counteract such effects. By using the MIMO technique, effects of fading can be reduced. In these techniques multiple signals are transmitted and received through multiple antennas, the received signal can be distorted by fading. To retrieve the signal that is transmitted, received signal could be estimated by using channel estimation techniques. Space Time Block Codes (Alamouti code), Minimum Mean Square and Zero forcing are the channel estimation techniques for MIMO scheme. The paper mainly focuses to analyse and simulate the channel estimation technique with modulation techniques like BPSK schemes. In addition to that, simulation can be performed implemented in MATLAB.

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In the diligent world with full of time restraints people run behind time. In order to save time and labor graft, we have proposed a multifunctional shopping tramcar to avoid queues in the super-market and shopping malls. The core intent of this project is to develop a robust tool with high efficiency, minimal cost and an accustomated structure for the ease of customers and retailers. The system works with the integration of 7 modules. Firstly, develop a login credentials for each customer to connect the cart with the main server through a website based login and set the budget, if it crosses the limit it notifies the customer. The products are scanned via RFID scanner. Besides, this system is embedded with a technique which intimates the product spot when searched. It also has the anti-theft mechanism feature, enabling automatic bill display and automatic payment. The sales rate could also be predicted to drop down the work of a retailer.