In general, spy robots were employed mostly in military field to patrol over the country border and also can be assigned for a rescue and search mission. Even though this technology has a rapid growth recently, the major problem is what is there in Malaysia security sector, there are many lacks in this technology if compared to other countries. Furthermore, most robots use the RF technology which means the person can only monitor or control the robot within a limited range. Even though the patrol robot can be operated from a long range, there is a circumstance that it can be hard to be located or tracked. Moreover, the ordinary camera can’t deliver a better performance under dark circumstances. In view of confinements that have been featured previously, this project plans to develop a mobile patrol robot with wireless night vision camera that can be controlled by using DTMF and GPS system that can be used in military field. There are several parts to be in implement in this project as following; software simulation & hardware development of robot. As example the DTMF technology, GPS system and wireless night vision camera as well are implemented in this project so the working principle of the robot features needs to be simulated and programmed into the robot using Arduino and Proteus software. Only then if the simulation is succeeded the progress is then proceeded to the hardware development of the robot. Later the successful simulation is integrated into the robot to make the robot can be fully operated. To conclude, this robot is supposed to be able to easily be tracked by GPS system and monitored from long range using DTMF while performing such monitoring or guarding duty at the country border or other public areas.
Nowadays, solar energy’s popularity is growing consistently every year, along with the growth of amazing solar technologies, which is considered to be one of the most popular. Non-renewable energy like petrol and gasoline is being replaced with solar energy, which is renewable energy. The main objective of this project is to design and simulate a robot solar system. The robot is developed using Arduino Mega 2560 as the main brain of the system. This system is equipped with a solar tracking system to track the movement of the sun and LDR is used to detect the presence of sunlight. The solar tracker is used to get the maximum efficiency of solar energy and reduce power losses. In addition, the solar tracker can rotate from 0° - 180°, which is the best angle for the solar panel to reach the sunlight. This robot will be attached to the sprinkler system to perform the watering process. This robot is developed for use in the agriculture field to reduce the manpower and cost of the watering process. Three analyses will be conducted in this project such as solar panel analysis, Wi-Fi connectivity analysis and sprinkler system analysis. The result shows the solar panel will gain the highest intensity of the sunlight at 12.00 pm and a sunny day compared to the other time and a cloudy day. The maximum range of Wi-Fi connectivity and the water pump, time used to finish the watering process and watering area will be discussed.
In the past decades, there has been an increase in the prevalence of degenerative joint diseases. Artificial knee replacement has been shown to be effective and have predictable results in patients with arthritis. Following the implant replacement, the patients are able to resume their daily living. The preliminary design and analysis of artificial knee implant was conducted using Solidworks and Abaqus. The considerations include semi-constrained design and the recommended biocompatible materials for a knee prosthesis. The preliminary results from finite element analyses indicate that further work is required on the design and analysis aspects.
Drying clothes on a clothesline is a method that is commonly used by most of the housewives. This is because this method is very efficient with low cost needed.Nevertheless, when there is a sudden rain, the effort of clothes drying will be in vain if the housewives are not aware of it. Hence, the development of an intelligent clothesline system that would be functioning according to the weather is needed to solve this issue. In this study, light dependent resistor (LDR) and rain sensor were installed to detect the change of the environmental condition and send the input signals to the Arduino microcontroller. The characteristics of the sensors would be studied to obtain the threshold values by measuring the voltages across both sensors in different conditions. The threshold values obtained were set in the program to allow the system to determine the brightness and availability of raindrops in the surrounding. The portable prototype was designed to have a large basearea for high stability. It was also allowed to be assembled and disassembled for storagepurpose with a few simple steps needed. The completed prototype was tested outdoor ondifferent environmental conditions. The DC motor would be activated and expose theclothes when the condition was bright and not raining. Else, the clothes would be coveredunder the roof designed. The results recorded from the prototype test showed that theintelligent clothesline system developed in this project was successful as it was able todetermine the suitable condition to dry clothes.
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