Label Extraction and AI for Digital PathologyTissue-based studies generate large amounts of histology data containing important biological information in the form of imagery and metadata.

These digital pathology slides are labeled using text and barcodes for their identification.

The older technologies used printed or handwritten labels for specimen labeling.

The Label Extraction Solution uses state-of-the-art OCR technologies, image processing, and AI to read, understand, and store label data from digital pathology slides.

Additional manual validation of the data leads to a highly automated process which reduces the time to search and find slides.

The extracted label text is translated into a structured data format, stored in a database with search capabilities.

Esri Support ServicesOverviewFormed in 2016, Aventior and its founders have been strategic implementation partners for small and large enterprises.

A global presence to tap into both matured and developing markets with round-the-clock execution capabilities.

Our team brings a well-rounded cross-industry and multi-client perspective, with a strategy grounded in design, implementation, and innovation.

Aventior is a technology consulting firm assisting its clients on their Digital Transformation journey with a primary focus on building Digital, Cloud and AI, and GIS solutions that significantly improve their business outcomes.ServicesSince 2016, Aventior has been providing top-notch geospatial intelligence services, computer vision, and deep learning solutions to a wide variety of clientele across the globe.

Aventior solutions aim at monitoring urban planning and monitoring, infrastructure change detection, vehicle detection and count, traffic management, intelligence & reconnaissance, and map open\spaces.

Our standard services include:(1) GIS Support Services(2) Enterprise GIS Software Development and Training(3) GIS Data Management(4) Deep Learning Solution through ArcGIS Online(5) Enterprise GIS MonitoringFor more information on our service offerings contact us at [email protected] Pro Managed ServicesVehicle Detection in satellite imagery What is this for?The Vehicle detection deep learning model is developed to detect vehicles.

Resolution Reconstruction of Urban Images (Satellite Images) using AIIt is said that “A picture is worth a thousand words”.

Computers can understand these images in terms of color values at a pixel level, and the features of the contents.

The CV has now become a popular topic of academic and industrial research applications.

The quality of the image is dependent on the sensors which capture these images, and sensors can be very expensive if extremely high image quality is expected.With Artificial Intelligence (AI) it is now possible to improve the image quality up to a certain extent, without much loss of data.

The quality of images produced by sensors is limited, mostly due to sensor hardware limitations which cannot be much experimented with, as the sensor hardware is a costly piece in the system.

One such important type of enhancement is resolution improvement, especially in the field of Satellite Imagery.In satellite images, the image resolution denotes the distance on the ground that is captured by each pixel.