Transmission

There are several uses for real-time image and audio transmission through a remote-controlled agent in telepresence, remote monitoring, surveillance, search and rescue operation, healthcare and medical applications, industrial inspection and maintenance, and education alongside research. Hence, the aim of this work is to develop a real time image and audio transmission using a remotely controlled mechatronic agent. This study describes a system that combines computer vision, audio processing, and wireless communication to provide real-time multimedia streaming via remotely operated agent. A mobile robotic platform with a camera embedded with a microphone feature that makes up the suggested system, which sends live audio and video data to a distant control center via a wireless network. In order to maximize bandwidth utilization and guarantee low latency and high-quality transmission, sophisticated compression algorithms are used. To improve the clarity of the received data, the system also includes image stabilization and noise reduction. The effectiveness of several communication technologies, including Wi-Fi and 5G, in preserving a steady connection in changing settings is assessed. The recommended system consist of an ES-Custom RC transmitter and receiver for remote control, a lithium battery as the power source, a Standalone x360 mini camera with motion sensor and flash features for real-time streaming, a TP4056 charger module for battery management alongside a mobile platform being driven by two electric motors where one motor is controlling the front wheel responsible for the forward motion of the prototype and the other electric motor that is responsible for the rotational motion of the aforementioned system, and a servo motor that is responsible for the general motion (which can either be forward, backward, or rotational motion) of the camera system. The TP4056 charger module is connected v to an AC supply power source which has a BMS (Battery Management System) in place to prevent against overcharge of the system and also over-discharge of the system when it is in use. The power being supplied by the AC source is converted to a DC power source via the TP4056 charger module which charges the two Lithium battery and stores this energy within a voltage range of 3.7 – 4.2 volts, 1 Amp. The Step-up module helps to convert the voltage being provided by the two Lithium batteries to a steady 5 volts which is required by the camera for its utilization. The RV (Remote Vehicle) System contains several chips serving different functions – One of these chips manages the power that comes into the system (the single small black chip), there is a big black chip apart from the two black chips arranged side by side which manages the control and the other black chip is responsible for the light function. The video feedback from the Camera is displayed on an Android phone device via an app known as V380pro, and this app can be connected through a HotSpot and a Wi-Fi connection alongside with the barcode on the camera system being scanned. The developed system when connected together performed satisfactorily. It will help to monitor an environment via mobile phone in which the system is placed

This study was to determine the knowledge, attitude and perception of quantity survey students of university of Benin towards the transmission and prevention of Corona virus. This study was guided by the following aims; to determine the level of knowledge of quantity surveyor students of University of Benin towards the prevention of Corona virus, to assess the attitude of quantity survey students of University of Benin on prevention of Corona virus and to determine the perception of quantity survey students of University of Benin on the transmission of Corona virus. The study employed a cross-sectional design that also involved a convenience sampling technique, and questionnaires were made in Google form, which was used in collecting data. The study findings revealed that 56.4% of the respondents had a fair level of knowledge, all respondents (100%) have heard of covid-19. The mean knowledge score is 63.57±13.42, which suggest a fair level of knowledge. The attitude level of the respondents shows that 47(41.4%) have negative attitude towards Corona virus, while 71(58.6%) have positive attitude towards it. This suggests that the respondents have positive attitude towards the prevention of Corona virus. The study also revealed that 61(51.4%) have negative perception towards Corona virus transmission, while 57(48.6%) have positive perception towards it. This suggests that the respondent have a negative perception on the transmission of Corona virus. Result shows that the level of knowledge is fair, with positive attitude and negative perception to the transmission and prevention of Corona virus. In conclusion, Knowledge did not show significant association with perception and also there was no significant difference in perception based on gender of the students. A recommendation of need for the university community to continuously provide accurate and timely information to their students was made