Machine Learning is an emerging area and fastest growing field and Deep Learning as a service represents its true bleeding edge. Networks of artificial neurons analyze huge amount of datasets to automatically discover underlying patterns, without any human intervention. Deep learning is a subset of machine learning and technically works similar, but it has different capabilities. Deep Learning Models have multiple layers for feature extraction and transformation, where each successive layer uses output from previous layer as an input. Deep Learning services include learning of deep structured and unstructured representation of data that allows to build a solution optimized from algorithm to solve Machine Learning problems.
Acclivis has a team of experts which provides cutting edge solutions in this domain ranging from simple image optimization to complex video sequence analytics. Acclivis has developed systems for clients that detects and extracts rich data from images or objects, categorizes, and processes the information to give actionable insights. These systems do not require devices to be embedded, physically printed, or externally attached to the objects targeted for detection.
Acclivis machine vision expertise enables enterprises with faster, accurate, outstanding and skilful outcomes by quantitatively measuring structured data. Acclivis develops innovative applications by integrating computer vision services with other systems like ERP, POS, CCTV, and diagnostic software to detect anomalies in production lines, analyse medical images, identify products and people in real time etc. Acclivis team has built custom computer vision apps with advanced components such as object classification, feature recognition, segmentation, pattern recognition, object detection, filtering etc. to address the business challenges of multiple diversified clients. Acclivis ensures clients with measurable business results through customized computer vision models and development approach, works with specifically targeted businesses while paying attention to client's specific needs.