Viso Suite Whitepaper

The end-to-end computer vision platform

Computer vision is highly disruptive across all industries. To enable computer vision in real-world applications, organizations have to manage a complex lifecycle of computer vision. A unified platform is needed to integrate, optimize, secure and accelerate AI vision adoption.

Download this computer vision whitepaper for free and learn how your organization can adopt and apply AI vision effectively. Read how teams can develop, deploy and operate all their computer vision applications with a powerful, single no-code platform architecture.

Whitepaper contents

• Value of computer vision across industries
• Requirements for a computer vision architecture
• Problems of legacy computer vision toolchains
• Solution – A unified platform infrastructure
• Benefits of the Viso Suite Platform
• End-to-end capabilities of the Viso Suite

Computer vision is highly disruptive across all industries. To enable computer vision in real-world applications, organizations have to manage the entire lifecycle of applications. A unified platform is needed to integrate, optimize, and accelerate AI vision adoption.

Commercial Value: Companies in various industries have started to implement a growing number of computer vision applications to save costs, improve efficiency, increase revenues, and innovate. Seeing a surge of applications, the computer vision market is expected to grow to USD 51.3 billion by 2026 at a compound annual growth rate (CAGR) of 26.3 percent. Industry analysts estimate that organizations will invest more than $250 billion annually in digital transformation software by 2025. According to McKinsey, companies will generate more than $20 trillion annually in added value from the use of these new technologies. This is the fastest-growing enterprise software market in history.

Computer Vision is nontrivial: The problems that have to be addressed to enable today’s computer vision are highly complex. Deep learning is a major breakthrough that has dramatically transformed modern computer vision and opened the door to implementing large-scale AI vision applications. Robust cloud and edge infrastructures, a range of data services, and IoT communication are prerequisites to develop, provision, and operate computer vision applications at scale.

Most organizations will eventually need multiple and highly integrated computer vision applications. To avoid sunk costs and loss of investment, they need an efficient computer vision architecture to streamline and accelerate the development throughout the entire lifecycle. Let’s start with looking into the requirements for such a platform.

Viso Suite allows to take video streams, analyze them in a deep-learning model and draw insights in real-time at the edge, which results in real business impact.
– Arkadiusz Hruszowiec, Global Sales Director, Intel Inc

Reference Computer Vision Platform Architecture

Challenges – Computer Vision Toolchains

Traditional Computer Vision solutions require integrating multiple tools, cameras, databases, libraries, frameworks, and platforms to build a computer vision toolchain.

Navigating the sea of tools: Today, the market is awash in open source “AI Platforms” that present themselves as comprehensive solutions sufficient to deliver Computer Vision. They all appear to do the same thing, and they all seem to provide a complete computer vision platform. While many of these products are useful, the simple fact is that none offer the scope of features necessary to develop, scale and operate enterprise computer vision applications. TensorFlow, for example, a set of math libraries published by Google, is useful in enabling certain types of ML models. For that purpose, it is an effective product. But that functionality represents perhaps one percent of an overall solution.

Solution – single no-code platform architecture

Viso Suite is a complete Computer Vision platform designed from the ground up as a single, end-to-end architecture. From data collection and AI model training to application development, deployment, and monitoring – Viso Suite’s capabilities are built-in as part of the platform, so you don’t have to integrate multiple tools.

We’ve built computer vision applications using Viso Suite. It allows us to deliver business value faster and easier.
– Carlos Arredondo, AI Lab Lead, PwC

Benefits of the Single No-code Platform Viso Suite

1. Reduce complexity and lifecycle costs

By dramatically reducing the number of entities, objects, and processes the developer needs to understand and by freeing the developer from constantly keeping up with the technicalities, the no-code architecture of Viso Suite decreases the cost and complexity of designing, training, developing, testing, provisioning, maintaining, and operating computer vision by as much as 100 times or more.

2. Accelerate time to results

Today, developing real-world computer vision solutions with heterogeneous toolchains is inflexible and slow, with rigid technical requirements and little room for changes. The Viso Suite leverages a model-driven architecture with powerful no-code and low-code interfaces throughout the computer vision lifecycle. As a result, custom applications can be developed and delivered dramatically faster, in days instead of months – for every recurring development cycle.

3. Reduce risk with a unified security model

Having to manage authentication and authorization across many tools is painful. Viso Suite provides users with a single login and one place to set permissions and password policies, so everyone has the correct access. Viso Suite provides industry best practices for high-security encryption, secure communication, and zero-trust security.

4. Reduce administrative overhead costs

Viso Suite provided a way to build and rollout a flexible AI vision system to production, achieving significant cost savings.
– Thomas J. Ernst, Fleet Manager, Swiss Post

Capabilities of the One Computer Vision Platform

1. Collect

Collect data for computer vision annotation with Viso Suite. Use powerful, automated collection capabilities to gather high-quality training data using any camera enrolled in Viso Suite. Use continuous data collection to improve the performance of AI models.

About viso.ai

Swiss Made

viso.ai^® is a leading computer vision infrastructure provider. We are backed by Accel, one of the world’s largest VC investors that has invested in Facebook, Slack, Atlassian, Spotify, Venmo, Celonis, and Dropbox.

viso.ai delivers the Viso Suite for developing, deploying, and operating large-scale computer vision applications. The core of the viso.ai offering is a revolutionary, no-code driven AI architecture that dramatically enhances and accelerates the delivery of computer vision. Operating out of Switzerland, viso.ai serves Fortune 100, Global Fortune 2000, and Governmental Organizations worldwide, and is a technology partner of Intel, Nvidia, HP Enterprise, Amazon Web Services, DXC Technology and Samsung.