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Sensifai offers action and activity recognition in videos. For example, our basic software recognizes hundreds of activities such as fighting, dancing, playing football, drinking, smoking. In sagemaker platform, you can easily fine-tune this software to recognize new activities and actions by...

Algorithm - Fulfilled on Amazon SageMaker


TensorIoT Computer Vision PPE Mask Detection is an easy-to-use computer vision solution designed to help keep employees & customers safe. Built on the same foundations as SafetyVisor.ai, TensorIoT Computer Vision PPE Mask Detection address’s the emerging needs in the post-COVID world, the entire...

Model Package - Fulfilled on Amazon SageMaker

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AutoML-Matrix is a proprietary self-learning Neural Network algorithm which can automatically build state-of-the-art classification models for data presented in a matrix (or tabular) form. Given a dataset, this algorithm determines the architecture of the Neural Net and then computes its parameters...

Algorithm - Fulfilled on Amazon SageMaker


Online abuse is increasing day by day and it's becoming a threat in daily life making lot of people around the world daily victims of online harassment. The Abusive Content Detection identifies the comments in your content and classifies according to its severity. This helps detect any harassing or...

Model Package - Fulfilled on Amazon SageMaker

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The PPE Detector for Worker Safety - is a real-time image recognition and classification model for PPE monitoring in industrial settings. Trained on a synthetic dataset of 100,000 images, it analyzes live footage from high-resolution cameras to identify workers wearing protective gear. The solution...

Model Package - Fulfilled on Amazon SageMaker


Video-based AI that detects degree of COVID-19 facemask policy compliance. Analyzes statistical patterns at scale. See also separate Room Occupancy & Social Distance compliance detection module. Created by Providence Health Care, working with multidisciplinary teams from the University of British...

Model Package - Fulfilled on Amazon SageMaker


An end-to-end source separation in the time-domain. Vocal separation of an input source audio. It uses a convolutional neural network to separate the background music/noise and vocals in an input wav/mp3 audio file. The model package is an adaptation of the U-Net architecture to the one-dimensional...

Model Package - Fulfilled on Amazon SageMaker


This algorithm uses a neural network built in Tensorflow to predict anomalies from transaction and/or sensor data feeds. The model outputs predictions and reconstruction errors for the observations that highlight potential anomalies. Using an adjustable lower order basis representation of the...

Algorithm - Fulfilled on Amazon SageMaker


This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient...

Algorithm - Fulfilled on Amazon SageMaker