Overview
Leveraging advanced Computer Vision (CV) and Vision-Language Models (VLM), the solution provides intelligent image/video assessment and validation through video captioning, understanding, text extraction across different format of data from images, reports to videos. Incorporating video evidence with the service checklist, the solution enhances service validation, improves efficiency, service quality, compliance as well as customer experience and trust.
Built on AWS services like Amazon SageMaker AI , Amazon Bedrock and custom Vision Language models (e.g. MiniCPM), the solution provides organisations with a robust, optimized, scalable foundation for video analysis workflows and integration with customer processes. The solution is powered by AWS’s industry-leading infrastructure , built-in AWS security standards, including encryption, IAM controls, and compliance monitoring.
Example use cases include:
- Inspections and Service delivery to ensure service quality, compliance, adherence to legal requirements helping to create competitive advantage through building trust with customers through video evidence (e.g. car service, manufacturing )
- Safety & Compliance: ensuring adherence to safety regulations through AI-powered video analysis (e.g. in manufacturing , construction, energy)
- Logistics & Warehousing: automated product validation and inventory tracking using video-based insights.
Highlights
- Scalable Video Data Management: efficient handling of large datasets for AI training and operationalisation
- AI-Driven Video Workflow Automation with Built-in AWS enterprise security standards, including encryption, IAM controls, and compliance monitoring
- Reduced manual video review efforts through AI-powered automation, enhanced compliance, safety, improving customer experience and trust
Details
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