Viso.ai

What is Viso.ai?

Viso.ai is a versatile platform that simplifies computer vision tasks for organizations. It offers industry-leading image recognition features, AI vision-based people or object detection, image segmentation, keypoint detection, pose estimation, face recognition, and analysis. The platform is designed to be flexible, extensible, and enterprise-ready, allowing teams to integrate camera streams with powerful deep learning algorithms and choose from a variety of pre-trained AI models. Viso.ai enables the development of AI vision applications swiftly and efficiently, catering to various organizational needs with its no-code automation interface. Moreover, Viso Suite has been praised for its ability to build and deploy a large-scale custom vision system to production, achieve significant cost savings, and simplify ecosystem for developers with its no-code interface, thereby accelerating the delivery cycle of computer vision applications.

Who created Viso.ai?

Viso.ai was created by Pascal Walther, who is the Head of IT Solution Engineering at Viso.ai. The company was launched on August 9, 2020. Viso.ai offers a privacy-preserving AI vision application for live people counting in public places, providing a user-friendly solution for integrating camera and web systems without additional software.

What is Viso.ai used for?

• Automated Number Plate Recognition to identify vehicles in real-time
• AI-based ergonomic risk analysis using cameras to detect the human posture of employees
• Use cameras for automated object counting with deep learning
• Read analog dials such as gauges, digital displays, and warning light colors using cameras
• Product detection using deep learning to detect different product types automatically
• Eye gaze detection for monitoring attentiveness and stress levels
• Automatically identify suspicious or dangerous objects like abandoned luggage in public places
• Use deep face recognition to match human faces against a database in real-time videos
• Automated detection of potholes with AI vision
• Build and roll out a large-scale custom vision system to production
• Analog Instruments Reading
• Product Detection
• Pothole Detection
• Automatic Number Plate Recognition
• Ergonomics Analysis
• Object Counting
• Eye Gaze Detection
• Abandoned Luggage Detection
• Face Recognition
• Emotion Analysis
• Analog Instruments Reading - Reading analog dials such as gauges, digital displays, and warning light colors using cameras
• Product Detection - Detect different product types automatically using deep learning
• Eye Gaze Detection - Monitoring the attentiveness and stress levels with eye tracking and gaze detection
• Abandoned Luggage Detection - Automatically identifying suspicious or dangerous objects in public places
• Face Recognition - Matching human faces against a database in real-time videos
• Automatic Pothole Detection
• Weapon Detection
• Abandoned Luggage Identification
• AI-based ergonomic risk analysis using cameras to detect human posture of employees
• Automated object counting with deep learning
• Analog Instruments Reading using Computer Vision
• Product detection using deep learning
• Pothole detection with AI vision
• Automatically identify abandoned luggage in public places
• Deep face recognition to match human faces against a database in real-time videos
• Automatic deployment and management for large fleets with IoT scale connectivity

Who is Viso.ai for?

• Senior Technology Manager
• Fleet Manager
• Data Scientist
• AI Lab Lead
• Global Sales Director Robotics
• Lead AI Development
• Head of IT Solution Engineering
• City Technology
• Technology Managers
• Fleet managers
• Data scientists
• AI Lab Leads
• Global Sales Directors
• City Technologies
• IT Solution Engineers

How to use Viso.ai?

To use Viso.ai, follow these steps:

1. Data Collection:

   • Collect data for computer vision annotation using Viso Suite's automated collection capabilities.
   • Ensure high-quality training data and maintain control and security during the process.

2. Data Annotation:

   • Annotate image and video data within Viso Suite using automated and semi-automated labeling tools.
   • Collaborate with teams to create high-quality datasets while keeping the data safe and controlled.

3. AI Model Training:

   • Manage AI models of all frameworks in one place within Viso Suite.
   • Import pre-trained models or train custom AI models in modular environments to continuously improve them.

4. Application Development:

   • Build high-performance computer vision pipelines by integrating modular building blocks representing cameras, AI models, image processing functions, and hardware.
   • Integrate existing systems seamlessly and future-proof your computer vision applications.

5. Deploy to the Edge:

   • Deploy computer vision applications at scale by using Viso Suite's built-in device management.
   • Enroll and manage multiple devices safely without manual installation to ensure applications scale effectively.

6. Monitoring and Maintenance:

   • Monitor events and metrics in the cloud using real-time analytics with time-series databases.
   • Implement a fast and agile development strategy, detect issues early, and resolve them using capable diagnosis tools and remote troubleshooting options.

7. Security and Protection:

   • Benefit from enterprise-grade security provided by Viso Suite throughout the computer vision lifecycle.
   • Ensure the protection of AI models and applications from theft and loss through automated scans, encryption, and security measures.

By following these steps, users can effectively build, deploy, and scale computer vision applications using Viso.ai's intuitive platform while ensuring data security and application performance.