glosys Energy & Environment AI Overview
glosys Energy & Envronment AI, One of the components of glosys AI Platform, provides AI & Cloud Software Suite and SaaS Applications and Services for AI and Analytics Team to focus on Energy & Environment Data Management, Annotation Automation, Model Management for Energy & Environment, MLOps Automation and Energy & Environment data security in the digital world
Features We offer
Energy & Environment Data Management
glosys Energy & Environment AI manages Energy & Environment data sets in terms of data extraction, transformation, loading and processing effectively
Energy & Environment Annotation Automation
glosys Energy & Environment AI focuses on auto-annotating, Energy & Environment image and video annotations, interpolate and fine tune the performance of the annotator for Energy & Environment data
Energy & Environment Models Management
glosys Energy & Environment AI leverages construction of Energy & Environment ML Pipelines, Auto-ML to develop production-ready Energy & Environment AI, Model Workflows, Models Hub and Model Metrics for Energy & Environment data
Energy & Environment MLOps Automation
glosys Energy & Environment AI harnesses the power of construction of Energy & Environment CI/CD AI Pipelines using built-in neural networks, python SDK, webhooks and advanced orchestration
Energy & Environment Data Security
glosys Energy & Environment AI protects and secures image and video data using security features such as roles management, profiles and permissions management, access control and field level security
Model Types glosys Energy & Environment AI leverages
Object Detection & Localization
Detect and locate the presence of multiple objects within an image, drawing bounding boxes around them to indicate their position and size
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Object Classification
Identify and assign a label or multiple labels to images based on the presence or absence of specific features or patterns within the image
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Captioning & Action Recognition
Automated process of generating textual description of an image, identify and classify human actions or movements within a video using action recognition
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Semantic Segmentation
Divide an image into distinct regions or segments, and assign labels representing the category of objects or features they belong to, to each individual pixel
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Instance Segmentation
Detect and delineate individual object instances within an image, and assign a unique label to each pixel that belongs to that instance
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Object Tracking
Follow or track the movement of one or more objects within a video sequence by detecting and matching features across frames.
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Usecases for Energy & Environment
Detection of Hydrocarbons
Detect hydrocarbons to establish presence of new reserves for exploration
Assessment of Climate Risks
Measure climate risks such as flooding, famine and wildfire
Management of Water Resources
Monitor water resources and manage in a sustainable manner
Detection of Hazardous Material
Detect hazardous material and take timely measures to curb the danger
Management of Forests
Map and monitor forest cover; measure and reverse deforestation
Quantification of Pollution
Quantify pollution/stress levels due to pipeline leakages
Meet Your AI for Energy & Environment Objectives & Needs