This paper presents procedures of processing and recognition of color images by means of artificial intelligence and computer aided training. Two stages of processing have been applied with regard to extraction of features. Processing involves conversion of RGB images in grayscale and binary; and conversion of RGB, grayscale and binary into index formats. Spectral analysis is also applied in here with Fourier’s algorithm for fast conversion concerning indicated graphic formats and segmentation of the real and imaginary complex parts. Activities related with training, assessment and synthesis of feed-forward neural networks and probabilistic neural networks, based on Accuracy and Mean-Squared Error analysis. Special emphasis is made on a method for computer aided training k-nearest neighbors with Euclidean, Euclidean squared, Cityblock and Chebychev metric distances in relation to Cross-validation accuracy value. Some positive indications have been achieved in recognition of assigned graphic images by means of the employed mathematical apparatus.

The paper provides a 3D architectural model of Smart Home system. An information data sets of parameters in sound analysis of test voice commands were collected. The following analyzed indicators are included, respectively LZE, LZeq, LZF, LZS, LZI, LAE, LAeq, LAF, LAS, LAI, LCE, LCeq, LCF, LCS, LCI and LEX8h. Backpropagation and Hybrid algorithms based Artificial intelligence (AI) and Adaptive neuro-fuzzy interface system (ANFIS) were synthesized. Selected architectures are integrated in intelligent automated voice control system for human access control, power switching and lighting, air conditioning systems and home appliances. In the process of synthesis, different criteria for network performance in the analysis of activation type in the output layers in AI and input layer in ANFIS are applied. About all considered voice categories for functional control an accuracy of 100.0% was established. Verification procedures concerning reliability of the achieved results were performed for correct confirmation.