Learn to Program Visually to Develop Computer Vision
The most potent computer vision platform that does not require any code is Ai-Smartvision Suite. Giving companies the ability to develop, implement, and track computer vision.
Finding and Counting Objects
Identification of Faces and Facial Features
Estimating Human Pose
Next-gen AI vision technology
Without having to be an AI expert, Ai-Smartvision Suite provides complete access to human-level AI technology. Make use of cutting-edge image recognition tools such as pose estimation, keypoint detection, image segmentation, face recognition, and analysis, as well as people or object detection. Start with editable templates and create an AI product that you can be pleased to present to potential clients, investors, or customers.
Create scalable computer vision systems.
Structural support for Visual Deep Learning and Computer Vision on-device applications in real-time.Explore more Computer Vision Use Cases.
Object Detection
Locate, identify, and monitor moving targets in real-time
One method for finding specific objects in a live video feed is object detection, which is a computer vision technique. Recognizing, counting, and tracking the locations of objects are all possible with Object Detection. Ai-Smartvision Suite is an advanced AI vision platform that you can use to build object detection solutions.
- People Counting
- Vehicle detection
- Pedestrian detection
- Face detection
Feedback from Ai-Smartvision Suite users
Mihai Cvasnievschi, R2D2.ai
Software DeveloperRussel Mesbah
AI Professional, ReTechTiberiu Negulescu, Stefanini
Business DevelopmentArkadiusz Hruszowiec, Intel Inc.
Global Sales DirectorPose Estimation
Determine position, movement and orientation of a person
Pose estimation is a subfield of artificial intelligence vision that focuses on people’s postures. In a coordinated effort, the AI can identify human body, hand, face, and foot landmarks. Ai-Smartvision Suite enables the development and execution of Pose Estimation applications.
- Human Pose Estimation
- Movement Analysis
- Group Keypoint detection
- Gait analysis
Image Classification
Machine Learning-Based Neural Networks for Picture Schematization
By resolving the supervised learning issue of picture categorization, computers can analyze photos and establish to which “class” they belong. Examples of classes are “car,” “animal,” “building,” and many more. Both popular pre-trained models and custom-trained models are at your disposal.
Use Ai-Smartvision Suite to deliver Deep Learning applications, from building to scaling across multiple locations.
See other Deep Learning examples, tutorials, and ideas on the Ai-Smartvision Blog.
- Deep Neural Networks
- Pre-trained Models
- Custom Trained Models

Integrated tools
Introducing Ai-Smartvision Suite, the ultimate combination of open source computer vision tools
- For innovation managers
- For developers
- Custom Trained Models
The Advantages of Using Ai-Smartvision for Computer Vision Projects
Introducing next-gen, on-device deep learning vision technology has never been easier than with Ai-Smartvision Suite.