Aerial drones and robots can collect massive amounts of data, but that information is only useful if it can be analyzed and passed along to humans for effective decision making. Kespry Inc. today announced the availability of Kespry Perception Analytics. The company said its system is designed for industrial use cases requiring comprehensive analysis of complex visual data, including asset condition tracking and identifying anomalies.
Chemical, energy, pulp and paper, food and beverage, and port facilities capture petabytes of inspection data daily from hand-held and fixed cameras, drones and other robots, and thermal guns. This data can provide critical insights into asset conditions and efficiency. But reliability and maintenance teams waste valuable time organizing and searching inaccessible, unaggregated, and difficult-to-parse data across multiple users and systems, said Kespry. This makes it difficult to proactively detect problems that can lead to asset failures such as leaks and corrosion.
Menlo Park, Calif.-based Kespry was founded in 2013. It offers automation and machine learning capabilities to help businesses organize photos, videos, and infrared footage to identify and manage issues with physical assets. The company said its capabilities are based on its experience in drone-based aerial intelligence serving more than 270 mining and aggregates companies across North America, Europe, and Australia, as well as some of the world’s largest insurers.
Kespry customers include Colas, Fluor, Grinnell Mutual, Lehigh Hanson/Heidelberg, Oldcastle, Shell, Titan America, XAP 360, and Zellstoff Celgar.
Kespry Perception Analytics designed to streamline inspections
Instead of manually reviewing multiple sources of visual and sensor-based data, Kespry Perception Analytics is designed to create a repository with holistic views of each asset. The system streamlines the asset inspection process by creating a geotagged, historical repository for visual data. This enables teams to easily analyze multiple sources of data across assets, track trends over time, and perform proactive maintenance.
At the heart of Kespry Perception Analytics is a knowledge graph, said the company. It maps a company’s entire library of visual data, including media files and photogrammetric output, by types of physical assets, their specific geographic location, and the types and times of issues identified.
The platform provides a comprehensive toolset to ingest and index the data, according to Kespry, and it uses Microsoft’s Azure machine learning to generate insights on the data. Kespry Perception Analytics’ intuitive search and analytics capabilities enable reliability and maintenance teams to query data without any coding knowledge, claimed the company. The system offers interactive dashboards and data visualization tools to analyze the health of assets across an organization.
“Kespry Perception Analytics delivers unprecedented business insight and solves major problems for industrial companies that have struggled to get meaningful value from visual data in a timely manner,” stated George Mathew, CEO of Kespry. “It provides companies with a more complete view of the state of assets than just depending on telemetry data alone. It’s designed with a simple interface to help users intuitively navigate through complex analysis with ease.”
Kespry collaborates with Microsoft
Kespry said it collaborated with Microsoft Corp. to ensure that Kespry Perception Analytics meets the rigorous needs of complex industrial operations. The system vertically integrates as an ISV solution for the Microsoft Dynamics 365 and Power Platform.
Kespry Perception Analytics runs on the Microsoft Azure cloud computing platform, which provides customers with the ability to integrate, manage, and deploy Kespry Perception Analytics at scale across their global networks using established tools and frameworks, said the companies.
“Kespry Perception Analytics is an excellent example of a business solution that combines next-generation image and video analysis via the power of Microsoft Azure cloud and Azure AI.” said James Phillips, corporate vice president at Microsoft. “Kespry’s solution requires incredible speed and network availability to ensure it can deliver on its compute demands and have the resilience and availability necessary as a business-critical application.”
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