Abstract
The article describes the process of developing an integrated security system based on a single-board NVIDIA Jetson Nano computer. The main objective of the system is to provide profiled access to the room for trusted users. As a result of the work, a face recognition mechanism based on the convolutional neural network was designed and implemented. Face detection is implemented using histograms of directional gradients. Then, thе face is centered and processed by the trained convolutional neural network, out the characteristic features of the image supplied to the image classifier, which gives the percentage of image matching with the reference images. In the process of implementing the system, a framework was developed that allows implementing a complex security system, regardless of hardware components. To ensure the protection of the room, smoke detectors, opened doors and windows were added to the system. The scientific novelty of tht work is the encapsulation of all transmitted system traffic to overlay networks to ensure confidentiality.
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