Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Rosepetal AI specializes in delivering advanced artificial vision and deep learning technologies designed specifically for industrial quality control across various sectors such as automotive, food processing, pharmaceuticals, plastics, and electronics. Their platform automates dataset management, labeling, and the training of adaptive neural networks, enabling real-time defect detection with no coding or AI expertise required. By democratizing access to powerful AI tools, Rosepetal AI helps manufacturers significantly boost efficiency, reduce waste, and maintain high product quality standards. The system’s dynamic adaptability lets companies quickly deploy robust AI models directly onto production lines, continuously evolving to detect new types of defects and product variations. This continuous learning capability minimizes downtime and operational disruptions. Rosepetal AI’s cloud-based SaaS platform combines ease of use with industrial-grade performance, making it accessible for teams of all sizes. It supports scalable deployment, allowing businesses to grow their AI capabilities in line with production demands. Overall, Rosepetal AI transforms industrial quality assurance through innovative, intelligent automation.
Description
VisionPro Deep Learning stands out as a premier software solution for image analysis driven by deep learning, specifically tailored for factory automation needs. Its robust algorithms, proven in real-world scenarios, are finely tuned for machine vision, featuring an intuitive graphical user interface that facilitates neural network training without sacrificing efficiency. This software addresses intricate challenges that traditional machine vision systems struggle to manage, delivering a level of consistency and speed that manual inspection cannot match. Additionally, when paired with VisionPro’s extensive rule-based vision libraries, automation engineers can readily select the most suitable tools for their specific tasks. VisionPro Deep Learning merges a wide-ranging machine vision toolset with sophisticated deep learning capabilities, all within a unified development and deployment environment. This integration significantly streamlines the process of creating vision applications that must adapt to variable conditions. Ultimately, VisionPro Deep Learning empowers users to enhance their automation processes while maintaining high-quality standards.
API Access
Has API
No
API Access
Has API
No
Integrations
CX-Programmer
Yes
Cognex VisionPro
Yes
IMPACT Software Suite
Yes
Label Studio
Yes
NVIDIA TensorRT
Yes
PaddlePaddle
Yes
Predator DNC
No
Predator MDC
No
Predator PDM
No
Predator RCM
No
Integrations
CX-Programmer
No
Cognex VisionPro
No
IMPACT Software Suite
No
Label Studio
No
NVIDIA TensorRT
No
PaddlePaddle
No
Predator DNC
Yes
Predator MDC
Yes
Predator PDM
Yes
Predator RCM
Yes
Pricing Details
€250
Free version and Enterprise solutions available.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Rosepetal AI
Founded
2021
Country
Spain
Website
www.rosepetal.ai
Vendor Details
Company Name
Cognex
Founded
1981
Country
United States
Website
www.cognex.com/products/deep-learning/visionpro-deep-learning
Product Features
Computer Vision
Blob Detection & Analysis
Yes
Building Tools
Yes
Image Processing
Yes
Multiple Image Type Support
Yes
Reporting / Analytics Integration
Yes
Smart Camera Integration
Yes
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
Yes
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
Yes
Visualization
No