AI/ML systems rely on data to learn and make informed decisions. Data is collected from diverse sources like databases, sensors, and the Internet. Its quality and quantity significantly impact AI algorithm performance.
AI/ML models are trained with labeled data, where known outcomes are associated with inputs. This data teaches the model patterns and relationships to build the models.
During the training, the AI/ML model learns from labeled data to identify patterns and make predictions. It adjusts parameters, minimize errors and enhance accuracy by utilizing various techniques.
Detect landmarks of human bodies to identify key body locations, analyse posture, and categorise movements using machine learning (ML) models that work with single images or video.
NLP empowers machines to comprehend and respond to human speech or text, conduct language translation, extract meaning from unstructured data, and generate text resembling human language.
Effortlessly automate monitoring and reporting by leveraging our service to detect, capture, and derive insights from images and videos. Gain access to advanced algorithms that analyze visual features and provide the desired information.
Using our AI service one can detect whether a player is moving correctly or not and a variety of fitness analytics can be derived from motion detection algorithms providing the highest personalization to users through precise motion analysis and real-time feedback.
Using CNN and DNN, which can perform image classification, detection, segmentation, registration, generation, and refinement. Artificial intelligence systems in this field have been developed for the purposes of radiographic diagnosis, image analysis, forensic dentistry, and image quality improvement
QA teams can make use of AI tools for supplementing normal manual checking efforts, while providing the best quality assurance in expedited time and with great accuracy.
Our AI technology, powered by machine learning algorithms, enables unsupervised asset analysis of machines, early discovery and prevention of machine failures, and eliminates the nuisance of poorly set threshold-based alarms for remote monitoring service providers such as maintenance companies and OEMs.
Sentiment analysis with natural language understanding (NLU) reads regular human language for meaning, emotion, tone, and more, to understand customer requests, just as a person would. You can automatically process customer support tickets, online chats, phone calls, and emails by sentiment to prioritise any urgent issues.
In the world of security, video analytics turns surveillance into more than just recorded data.We provide fully managed Video Analytics Solutions for Object, Scene, and Activity Detection, Facial Recognition, and Gesture Recognition.