Have you been wondering how Kibsi makes all the tech magic work? Part of the story features our incredible partnership with Amazon Web Services (AWS). Watch this video to learn more about it.
In the age of digital transformation, there’s no denying that data is the new oil. However, as we navigate through this data-driven landscape, a significant portion of the data remains unutilized – video data. This is where Kibsi, a no-code computer vision platform for video, steps in to redefine the boundaries of what’s possible with video data. By transforming video footage into actionable insights, Kibsi empowers organizations to see their business in a fresh light beyond the limitations of traditional data capture methods.
But, the transformation of video data into business intelligence is not a simple task. It requires significant computational power, efficient data management, and reliable security protocols. This is where the synergy between Kibsi and Amazon Web Services (AWS) comes into play. In this blog, we will delve into how Kibsi leverages AWS to provide a robust, scalable, and efficient computer vision platform.
Revolutionizing Computer Vision with Kibsi
Historically, computer vision, a field that enables computers to “see” and interpret visual data, was a domain reserved for PhDs and academics. The complexity of building computer vision models, deploying infrastructure, and managing real-time applications was a daunting task.
Kibsi has made this sophisticated technology accessible to all by transforming it into a user-friendly, drag-and-drop operation. Whether you want to detect people, vehicles, or objects of various types, Kibsi makes it possible to create custom computer vision applications that automatically learn from the observations it sees.
Take, for instance, a manufacturing customer that wants to understand the flow of goods throughout their production line. With Kibsi, they can easily identify bottlenecks, process violations, or interventions from operators. The same applies to a supply chain customer who wishes to understand the loading docks’ dynamics, the time taken to load and unload a truck, or the number of pallets transported.
In essence, Kibsi converts the physical world into data, enabling organizations to build business rules around them. Without Kibsi, customers would have to build these solutions from scratch, a task that requires a significant amount of assembly.
The AWS Advantage
To support such a wide array of use cases, Kibsi leverages AWS, a global cloud platform known for its scalability, reliability, and comprehensive suite of cloud computing services. AWS’s serverless technologies, such as Lambda, API Gateway, and DynamoDB, have accelerated the development of Kibsi’s web application, offering a seamless experience without the burden of managing infrastructure.
The integration of Aurora Serverless for long-term storage provides a traditional SQL-like interface, further enhancing data management capabilities. Moreover, Kibsi’s runtimes are built with containers and deployed via AWS Elastic Kubernetes Service (EKS), ensuring portability and enabling real-time video stream processing and data streams, both in the cloud and at the edge.
One of the critical components of Kibsi’s architecture is AWS IoT Core, which provides a secure link between the runtime environment, which could be at the edge, and the cloud environment. This setup enables secure command and control for real-time streaming from cameras and inference.
Kibsi uses Kubernetes with EKS running on GPU-backed EC2 instances, which allows it to create a transparent environment for the customer. When a customer triggers a new workload through the UI, Kibsi spins up containers in EKS that stream from the camera, perform real-time inference, and compile the data into a model and outcome.
In essence, the use of AWS services allows Kibsi to scale effortlessly, onboard customers without significant upfront infrastructure expense, and minimize infrastructure management work.
Conclusion
Kibsi’s use of AWS services showcases the power and flexibility of AWS’s platform, enabling a broad range of customers to derive actionable insights from live video data for a multitude of use cases. The recent updates to AWS Lambda and DynamoDB, two of the core services utilized by Kibsi, exemplify AWS’s commitment to continuously improving and adding features that enhance the capabilities of applications built on its platform.
These innovations ensure that Kibsi can continue to provide its customers with state-of-the-art, real-time computer vision solutions. It is always beneficial to stay updated with AWS’s latest releases and enhancements to leverage the capabilities they provide fully.
Now that you’ve seen how Kibsi integrates with AWS to deliver powerful computer vision applications, why not experience it for yourself? Visit the AWS Marketplace and start exploring the potential of Kibsi’s computer vision platform today. Discover how your organization can transform live video data into actionable, real-time insights. You’ll be amazed at what you can achieve with Kibsi and AWS.
