King Fahd University of Petroleum and Minerals

Saudi Data and Artificial Intelligence Authority (sdaia)

Bo Liu

Mohamed Mohandes

Shafiqur Rehman

Ali Al-Shaikhi

Naveed Iqbal

Hilal Nuha

Hambal Tella

A method and a system for detecting defects in solar panels. The method includes collecting an image dataset of infrared images of the at least one mounted and operational solar panel; applying the image dataset to a YOLOS-PV convolutional neural network; converting the image dataset to a set of patches; applying position embedding to each patch and generating a set of position embedded patches; applying the set of position embedded patches to a transformer block encoder; generating a set of detection tokens; applying the set of detection tokens to an array of multi-layer perceptron (MLP) heads; classifying defects in the position embedded patches; setting, by the MLP heads, a plurality of Bpred bounding boxes for each of the set of position embedded patches; and identifying a solar panel in need of repair based on the defects in the set of position embedded patches and the plurality of Bpred bounding boxes.

Method and system for detecting defects in solar panels

A method and a system for performing crowd management in a religious site includes receiving registration information from a plurality of pilgrims, including mobile numbers for receiving text messages. The method includes periodically capturing, by a plurality of surveillance cameras, camera view images for views of each camera of respective portions of the religious site. The method includes automatically estimating a number of pilgrims in each camera view image using an Artificial Intelligence (AI) algorithm. The method includes automatically detecting a percentage of mobile numbers of pilgrims occupying overcrowded areas and sending text messages to the detected percentage of mobile numbers that direct the pilgrims to different areas where the camera view images have low crowd density.

Method and system for crowd management in religious sites

A data-driven linear filtering method to recover microseismic signals from noisy data/observations based on statistics of background noise and observation, which are directly extracted from recorded data without prior statistical knowledge of the microseismic source signal. The method does not depend on any specific underlying noise statistics and works for any type of noise, e.g., uncorrelated (random/white Gaussian), temporally correlated and spatially correlated noises. The method is suitable for microquake data sets that are recorded in contrastive noise environments. The method is demonstrated with both field and synthetic data sets and shows a robust performance.

Adaptive noise estimation and removal method for microseismic data

A system for seismic surveying, method for performing seismic and a non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, cause the one or more processors to perform a method for performing seismic surveying including emitting seismic waves into a substrate, receiving seismic waves reflected from discontinuities within the substrate, converting the seismic waves into seismic traces, and representing the seismic traces by superimposed multiple tone sinusoidal waves using a parameter estimation. An optimized residual of the modelling is compressed using entropy coding or quantization coding techniques, and the optimized residual and the parameter sets are transmitted to a remote processing station for reconstruction and analysis of the discontinuities.

Growing community of inventors

Dhahran, Saudi Arabia

Bo Liu