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Computer vision on AWS turns video and image streams into real-time safety and operational insights using Amazon Rekognition, SageMaker, and edge inference, with actionable alerts.
Overview
Convert cameras and image feeds into measurable business outcomes — from workplace safety and PPE compliance to intrusion detection, asset tracking, defect detection, and customer analytics. Our engineers design and deploy computer vision solutions on AWS that combine pre-trained services (Amazon Rekognition, Amazon Rekognition Custom Labels) with custom models trained on Amazon SageMaker for the scenarios that are unique to your environment.
The architecture spans cloud and edge. Video streams are ingested through Amazon Kinesis Video Streams or processed at the edge with AWS IoT Greengrass for low-latency inference in factories, construction sites, warehouses, and retail locations. Events are routed through AWS IoT Core, AWS Lambda, and Amazon EventBridge to alerting, incident response, and BI systems. We deliver production MLOps pipelines with Amazon SageMaker Pipelines, model monitoring, retraining, and privacy controls — including face blurring, retention policies, and role-based access — so you can scale responsibly.
This offering relates to the following AWS services: Amazon Rekognition, Amazon Rekognition Custom Labels, Amazon SageMaker, Amazon SageMaker Pipelines, Amazon Kinesis Video Streams, AWS IoT Greengrass, AWS IoT Core, AWS Lambda, Amazon S3, Amazon EventBridge, Amazon SNS, Amazon QuickSight, AWS KMS, and Amazon CloudWatch.
Highlights
- Real-time computer vision for PPE, intrusion, unsafe behavior, defects, and anomalies, combining Amazon Rekognition with custom SageMaker models tuned to your cameras, lighting, and operating conditions.
- Custom vision models built on Amazon SageMaker with production MLOps pipelines — data labeling, training, evaluation, deployment, monitoring, and retraining — for sustained accuracy over time.
- Edge-to-cloud inference with AWS IoT Greengrass and Amazon Kinesis Video Streams, automated alerts via Amazon EventBridge and SNS, and dashboards in Amazon QuickSight or your existing BI tool.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Our Computer Vision Professional Services team delivers and supports each engagement end-to-end — from discovery and architecture, through implementation and go-live, to knowledge transfer and post go-live support scoped to customer requirements.
Contact:
- email: aws@brinel.ro
- URL: <www.brinel.ro/en/contact >