Loko.ai - Real-Time AI Video Pattern Recognition in AWS and On-Prem

AI Real-time video pattern recognition in AWS and on-premises systems

Loko.ai partnered with TaylorMade Software to advance their real-time AI video recognition systems used in industrial environments, including the Port of Long Beach and automated assembly lines. The engagement focused on improving both detection accuracy and system reliability for AI-driven pattern recognition under live video streams.

We managed and enhanced AI streaming pipelines built on Python, PyTorch, OBS, and FFmpeg, enabling accurate real-time object and motion pattern analysis. Back-end services were developed using Java Spring Boot, PostgreSQL, and DynamoDB to support rapid data processing and contextual insights.

To optimize performance across environments, we deployed the platform using Kubernetes on AWS and on-prem infrastructure, automated with Terraform, Jenkins, CloudFormation, and Docker. This hybrid cloud approach enabled edge processing and centralized control, increasing flexibility and uptime.

React.js and Node.js interfaces were containerized and integrated with the AI backend to provide streamlined dashboards, system control, and status visualization for operators and engineers.

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