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Train models to classify images.
Auto label videos to train models for object detection.
Employ continuous learn to label objects.
Simple enough for subject matter experts
Interface streamlines process for domain experts to bring data and train models. Subject matter experts across industries can now build models for AI solutions with limited deep learning skills.
Increases productivity automating tasks
Iteratively train deep learning models and automatically label videos to create volumes of accurate data sets for training.
Flexible – train and deploy anywhere
Engage compute-intensive IBM Power Systems to train and then export the trained models and deploy them on-premise, in the cloud or on edge devices.
Adaptable – supporting custom models
Import your custom models in TensorFlow so your data scientists no longer need to train, tune or deploy them.
Faster insights and more accuracy
IBM Visual Insights (previously PowerAI Vision) was designed to unleash AI performance capabilities of IBM Power Systems and leverages IBM Research performance breakthroughs.
Enterprise-grade reliability and support
Deploy with confidence, knowing the entire software-hardware stack has been tested and validated for interoperability with optional support available from IBM.
Use AI to ensure the safety of workers.
According to the International Labor Organization every 15 seconds, 151 workers have a work-related accident and 321,000 fatal occupational accidents. Work accidents remain a huge, cross-industry problem, despite safety regulations and procedures.
Industries are applying AI technologies to monitor and enforce regulations for safety. Embedded computer vision applications can flag workers while entering hazardous environments or scan a construction area to alert supervisors to act.
Drone surveillance for Energy and Utilities
Power companies rely on manpower to visually inspect their towers over large areas. Manual inspections are notorious for being expensive, risky, and slow especially when the towers are spread over mountainous inaccessible terrain.
Power companies are transforming inspection jobs by deploying drones with cameras to capture inspection data. AI for such industries can help decrease time, increase frequency and reduce risk to workers.
Visual insights for quality
Manufacturing operations use visual confirmation to ensure t parts have zero defects. The volume of inspections, product SKUs, and the variety of defects pose challenges to delivering a high-quality product.
Deep learning models deployed on factory floors ensure little decision latency during production. Systems learn continuously by taking feedback from manual inspectors. AI is beginning to deliver reliable results with low escape rates.