Computer vision infrastructure offers a competitive advantage to enterprises in today’s competitive playing field. However, while the technology itself is quite mature, organizations still experience roadblocks in leveraging its true value due to the complexities of developing, deploying, and managing full-scale artificial intelligence applications. The Viso.ai x Intel partnership is breaking down these barriers with a unified, cloud-based platform designed to bring the power of computer vision to organizations.
Viso Suite’s unified infrastructure takes the challenges associated with the complete ML lifecycle head-on, making it possible for organizations to shorten the time-to-value of their computer applications to just three days. However, the ML lifecycle would be incomplete without an integral step: application deployment on state-of-the-art hardware.
In this article, we highlight the collaboration between Viso.ai and Intel within the Intel® Partner Alliance Edge Accelerator and AI Accelerator initiatives. First, we’ll examine the advantages of our partnership and follow up by discussing them in the context of the added benefits they offer to organizations.
Partnership Added Value for Organizations
The transition from AI model development to full-scale deployment is often challenging for enterprises. This process is made even more complex when stringing together a variety of point solutions, each focusing on a different competency: optimal performance, scalability, or integration with existing infrastructure. The viso.ai x Intel partnership addresses these challenges by providing a comprehensive solution to bring enterprise computer vision systems to life.
About us: We are the creators of Viso Suite, an end-to-end computer vision infrastructure for enterprises. With Viso Suite, ML teams can simplify the entire intelligent application lifecycle by managing systems in a unified interface. Thus, omitting the need to point solutions to fill in the gaps. To learn more about Viso Suite, book a demo with our team of experts.
Let’s review the ways that our partnership supports organizations in their computer vision initiatives and what organizations gain from it:
Optimized Model Deployment with OpenVINO
The Intel Distribution of the OpenVINO toolkit is a key feature that dramatically simplifies computer vision model deployment within Viso Suite. OpenVINO ensures high performance and scalability by optimizing deep learning model efficiency on Intel hardware.
With Viso Suite, organizations can access end-to-end computer vision infrastructure with OpenVINO’s out-of-the-box capabilities. With this integration, ML teams can select pre-trained, optimized AI inference models.
Advantage: Viso Suite also supports various digital cameras, such as surveillance cameras, CCTV cameras, and webcams. As many computer vision applications require real-time processing, operating and managing the system of edge devices in a single interface is beneficial for ML teams
Benefit: This makes it possible for ML teams to drastically reduce the complexity and time required to make their AI applications operational.
Enhanced Performance and Efficiency with Intel Processors
Intel’s processors, such as the Intel Xeon Scalable processors and Intel Movidius VPUs, handle applications’ workloads. They can provide the computational power needed for real-time data processing and analysis, ensuring peak performance.
Advantage: Viso Suite infrastructure integrates and scales Vision Processing Unit (VPU) technologies for on-device AI inference applications. I.e., deployments may use Intel Core i3 processors with the Intel Neural Compute Stick 2 and Movidius Myriad X VPU for deep learning inference. This is all housed in robust and industrial-grade enclosures.
VPU technology powers smart systems of cameras, edge devices, and AI inference with deep neural networks and computer vision-based applications. Thus, making it ideal for enterprises that must deploy AI at the edge.
Benefit: Movidius VPUs, in particular, enhance cost and performance by prioritizing high efficiency above all else. This is accomplished by combining highly parallel programmable computing with workload-specific AI hardware acceleration.
Heterogeneous Computing Support
Heterogenous processing allows for organizations’ AI applications to leverage various Intel processors simultaneously, including:
- CPUs
- GPUs
- VPUs
Advantage: This parallel processing distributes AI workloads as efficiently as possible, greatly reducing the amount of time it takes to operate their systems.
Benefit: This makes it possible for organizations to run their smart systems effectively and reliably.
Real-Time Edge Processing
In use cases such as intelligent video analytics, industrial automation, and security applications (amongst others), organizations require immediate data processing and decision-making.
Advantage: Viso Suite harnesses Intel’s edge computing capabilities for real-time processing exactly where the data is generated.
Benefit: This reduces latency and improves AI vision application responsiveness.
Robust Security and Reliability
Robust security measures are essential for the handling of sensitive data and operating in industries that must abide by strict regulations and guidelines. I.e., HIPAA in the healthcare field.
Advantage: Intel hardware has advanced security features for threat protection and data integrity, in line with Viso Suite safety standards. Additionally, its reliability ensures that computer vision and AI applications always run smoothly and consistently, regardless of the environment.
Viso Suite:
- Is ISO 27001 compliant
- Is built on AWS, in line with rigorous security standards
- Implements automated testing and continuous monitoring technologies
- Uses a multi-layered security approach with various safeguards
- Has a Dedicated Virtual Private Cloud for each Enterprise customer
- Implements military-grade encryption
- Implements extensive logging and monitoring of system and application events
Benefit: Organizations can rest assured that their data is absolutely secure and safeguarded against cyber threats.
viso.ai x Intel for Real-World Computer Vision Solutions
Let’s examine how a construction company could leverage Viso Suite and Intel hardware for safety monitoring on a worksite.
Construction
Construction companies must be able to track the movements of all individuals on worksites to ensure they adhere to strict safety guidelines. A problem construction teams often face is understanding and managing the entry of workers into restricted areas.
By implementing a smart tracking system on worksites, construction companies can deploy computer vision at the edge to monitor worker movement in real time. Viso Suite computer vision infrastructure can be deployed to various Intel hardware across a worksite (i.e., edge AI devices and cameras).
A smart computer vision system can identify when there is an entrance into restricted areas and send an SMS message to the site manager and worker at the same moment. Additionally, reports based on worker movements in and out of restricted zones can be generated for on-site data-driven insights.
We suggest checking out our applications page to dive deeper into relevant computer vision tasks across industries.
What’s Next with viso.ai x Intel?
In the next viso.ai x Intel article, we will present how a large organization in the restaurant industry was able to leverage our partnership to experience cost savings and improved productivity. We will walk you through each step of the application lifecycle, highlighting the value brought by Viso Suite and Intel hardware for the development, deployment, and management of the computer vision application.
For further reading into Intel products and features, check out our other blogs:
- Intel AI Builders Computer Vision Case Study
- Intel Neural Compute Stick 2 – AI Vision Accelerator Review
- What is OpenVINO? – The Ultimate Overview
- CVAT – Computer Vision Annotation Tool
We offer demos of Viso Suite to enterprise teams by request. To learn more about what our end-to-end computer vision platform has to offer and explore Viso Suite, get in touch with our team of experts.
