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<p>Nowadays, the development of computer vision technology help to overcome track and identify humans within a location in the complex environment through mobile robots, which gives the motivation to presents a vision-based approach to a mobile security robot. The proposed system utilizes a wireless camera to detect the objects in the field of robot view. Principle component analysis (PCA) algorithm and filters are used to implement and demonstrate the process of the images. This gives the designed system the ability to recognize objects independently from current light conditions. Frame tracking in the images uses an attention system to get an estimate of the position of a person. This estimate helps the applied camera to identify objects with changing background lighting conditions such as a fire inside a building. By using this estimate, the applied camera could identify objects with changing background lighting conditions such as a fire inside premises. The system has been tested using the MATLAB environment, and the empirical performance explains the efficiency and strongness of the suggested device.</p>

Due to the fears from the corona pandemic and its consequences from curfews, spacing, and the difficulty to reach work centers, including the greenhouse in the agricultural sector. The idea arose to use LoRa, one of the latest wireless communication technologies, which has the ability to connect and use the Internet of Things (IoT) to ensure monitoring, management, and control in any workplace. LoRa technology will serve as the backbone of our design for the wireless network system to monitor and control greenhouse sensors, the design consists of two parts: The first is to prepare a group of sensors that support the (IoT) and its mission is to measure and control inside the greenhouse and send data using LoRa technology to the next section. the second section is to monitor and control the readings data remotely, using LoRa technology to receiving first section data, and connecting it to the Internet or using the (IoT) network to provide access, monitoring, and control from anywhere in the world. the readings can have obtained after uploading it to the cloud computing, the data deal with a website which allows monitoring the sensors wherever the internet service is available, the system also gives the ability to send a feedback signal to the greenhouse. The project provides integrated greenhouse control at a distance of 2 to 15 km. and it represents as a fundamental solution to the current situation that is forced to remotely control our business to stay in homes for as long as possible to avoid corona disease.

In the last decade, numerous researches in the field of electro-encephalography (EEG) and brain-computer-interface (BCI) have been accomplished. BCI has been developed to aid disabled/partially disabled people to efficiently communicate with the community. This paper presents a control tool using the Neurosky Mindwave headset, which detects brainwaves (voluntary blinks and attention) to form a braincomputer interface (BCI) by receiving the system signals from the frontal lobe. This paper proposed an alternative computer input device for those disabled people (who are physically challenged) rather than the conventional one. The work suggested to use two virtual keyboard designs. The conducted experiment revealed a significant result in developing user printing skills on PCs. Encouraging results (1.55-1.8 word per minute (WPM)) were obtained in this research in comparison to other studies.