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Title
BMW Group uses AI-powered vision and sound analytics for predictive maintenance and quality management
…tion with expert guidance and packaged solutions AWS Solutions Customer Stories The BMW Group Manages 1.3 PB of Vision and Sound Analytics Data to Drive AI Innovation Using AWS The BMW Group, a global manufacturer of automobiles and motorcycles, built its…
Description
The BMW Group built its Vision and Sound Analytics Service (VSAS) on AWS, processing 1.3 million image and audio files daily across 1.3 PB of data at more than 16 production sites worldwide. The company uses the platform's stored data to build AI models for predictive maintenance and quality management, including a computer vision model that predicts potential rail failures to reduce downtime, and an Acoustic Analytics application that automatically captures and analyzes vehicle sounds using trained models to detect anomalies and improve engine performance and in-cabin comfort, reducing the need for human intervention in testing vehicles with no driver present. Using AWS Graviton processors for AI model training, BMW cut compute costs for its computer vision solution by 63% and reduced model training time for various use cases from days to hours.
…n size within the first year and expanding to 16 production sites over 3 years. It now processes an average of 1.3 million images and audio files daily, managing 1.3 PB of data. By using Amazon S3, the solution efficiently scales to manage growing data volu…
Company
BMW Group
…ing in enhanced product quality and operational efficiency. About The BMW Group The BMW Group is a multinational manufacturer of automobiles and motorcycles that operates over 30 production sites around the world and has a global sales network. The company is comprised of four brands: BMW, M…
Industry
Automotive
…ages 1.3 PB of Vision and Sound Analytics Data to Drive AI Innovation Using AWS The BMW Group, a global manufacturer of automobiles and motorcycles, built its Vision and Sound Analytics Service on AWS, processing 1.3 million im…
Problem
BMW Group's audio and image data were underpinned by disparate technologies and methodologies; the company wanted to unify these systems into a single application framework to standardize its architecture for acoustic- and image-related products.
…io and image data were underpinned by disparate technologies and methodologies. The BMW Group wanted to unify these systems into a single application framework, modernizing and standardizing its architecture so that it could use this data for acoustic- and image-related products. Building on its existing AWS relationship, the BMW Group chose to use AWS to in…
Solution
BMW Group built its Vision and Sound Analytics Service (VSAS) on AWS using Amazon EC2, Amazon S3, Amazon OpenSearch Service for searching massive volumes of image metadata, AWS Transfer Family for data migration, Amazon Elastic Container Service for containerized applications, and AWS Graviton processors with Amazon SageMaker for training and running AI models, including a Supervisely-based computer vision model and an Acoustic Analytics application.
…tegrate this data to uncover new insights. To achieve its standardization goal, the BMW Group developed the VSAS on AWS. VSAS started as a centralized image storage solution for production quality inspections but quickly evolved to include audio data storage and computer vision–driven data management for efficient data labeling and AI compatibility. This comprehensive database,…
Business value
BMW Group cut compute costs for its computer vision solution by 63% using AWS Graviton processors, reduced storage costs by more than 60% with Amazon S3 Intelligent-Tiering, cut data authentication time by 80%, and reduced model training time for various use cases from days to hours, while its computer vision model predicts potential rail failures to reduce downtime and its Acoustic Analytics application automatically detects sound anomalies to improve engine performance and in-cabin comfort with reduced human intervention.
…ntelligent-Tiering storage classes, which automatically optimize storage costs. The BMW Group further reduced costs by 63 percent for its computer vision solution by using AWS Graviton processors, which provide the best price performance for cloud workloads running on Amazon…
AI capabilities
Computer Vision, Speech & Audio AI, Predictive Analytics
…iability of its production infrastructure and streamline maintenance workflows. The computer vision solution predicts potential rail failures, which reduces costs, minimizes downtime, and improves overall equipment effect…
Technology
Amazon EC2, Amazon S3, Amazon OpenSearch Service, AWS Transfer Family, Amazon Elastic Container Service, AWS Graviton, Amazon SageMaker
…essors , which offer the best price performance for a broad range of workloads. The BMW Group uses Amazon OpenSearch Service , an AWS-managed service that lets users run and scale OpenSearch clusters, to…
Headline outcome
…PB of data supported 1.3 cost reduction using Amazon S3 Intelligent-Tiering 60% cost reduction for a computer vision solution using AWS Graviton processors 63% Overview The BMW Group , a global leader in premium vehicle manufacturing, prod…
Use case type
Predictive operations
…ring production, facilitating AI model development for targeted quality checks. The company uses the data stored in VSAS to build AI models for predictive maintenance and quality management, using Supervisely software on Amazon EC2 to enhance the reliability of its pro…
