case study

ike GPS

Background

ike GPS are providing industry leading AI solutions for those provisioning power and communications networks with their pole management platform technology.

ike GPS had a pretrained model and needed a solution to inference it while supporting auto-scale. There were also some latency issues, and they needed the resource code of the pipeline to support their model.

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Journey

Arcanum provided a micro service that infers pole detection for IKE gps, by helping with productionising & optimising their current model solution.
We used our spellcaster to generate the code, post it to the Bitbucket to create the CI/CD pipeline and helped them provision the AWS infrastructure.
Guided by the metrics from our MLOps monitoring system, we found their model would benefit from a GPU, resulting in a 1000% performance increase.
We built them an auto-scale feature to ensure they could continue to process quickly as their demand grew, while keeping costs down during quiet periods.

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AWS Solution Architecture

We have successfully implemented a comprehensive solution to containerize the computer vision model for ike GPS, ensuring its efficient deployment as an API service.

Leveraging the power of various AWS services, such as Route 53 for domain name management, VPC for secure networking, Internet Gateway for seamless internet connectivity, Load Balancer for distributing traffic, NAT gateway for enabling outbound internet access, ECS for container orchestration, ECR for secure container image storage, and EC2 for scalable computing resources, we have created a robust infrastructure.

This infrastructure allows us to seamlessly deploy the containerized computer vision model, providing a reliable and scalable API service to cater to the needs of IKE GPS. With this solution in place, we can confidently ensure the availability, performance, and security of the CV model as an API service, meeting the requirements of IKE GPS efficiently.

Results

"Overall it's been a pleasure working with Arcanum - We are in an interesting position of having extensive in-house AI experience, but not a lot of experience with running AI workloads on the Cloud. Arcanum have helped us to gain a better understanding of how we can best move our workloads to the cloud and have successfully implemented a solution for us on AWS that is performing very well.

This service involves using AI to detect whether a particular image in our database contains a pole, and the laser in our device is hitting the pole for that image - If so, the image is billable, otherwise not billable. The primary internal customer for this is our accounting team, who use the information to generate invoices for the customer and doing this in a timely manner at the start of each month is crucial. I was speaking to a member of the finance team yesterday, and she told me that the overall process ran flawlessly this month.

Also, this month, no one has asked me any questions about the process, which is great since I can invest my time in other new innovations without having to be involved in maintaining the existing system.

The main objective was to have Arcanum help us with deploying our existing models into a cloud environment in a Cost Effective, Secure, Scalable and Reliable way. This has been achieved for the solution mentioned earlier, and I am looking forward to building on this foundation for future work. My overall objective is to set up an environment where the IKE team can focus on the things that we are experts at (using AI to help people measure and assess Utility poles so that we can help our customers provide power and WiFi safely and reliably to their customers), and have Arcanum support us with the underlying MLOps and DevOps for this.

Arcanum have also been extremely responsive in understanding and resolving any issues that arose after the initial deployment."
- Jeremy Gold, ike GPS, Principal AI / ML Engineer / Mad Inventor