AI-Driven Computer Vision Solution Case Study

This case study details the implementation of an AI-driven Computer Vision platform developed by Tiger Analytics for a leading CPG company in the US. The objective was to streamline the onboarding and deployment of various Computer Vision use cases, addressing significant challenges related to infrastructure access, delays in service requests, and the need for a centralized platform. The solution involved creating generic DevOps pipeline templates for automated model deployment, utilizing tools such as ELK, Kibana, and PowerBI for monitoring and logging. Security measures were integrated using Sonarqube and Fortify to meet vulnerability standards. The deployment leveraged Kubernetes best practices, including auto-scaling and optimized resource management. The results included a 60% reduction in manual efforts and improved system stability during peak hours. Comprehensive documentation was provided to support the DevOps processes, ensuring that all teams had the necessary resources for effective implementation.