Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gain profound understanding from your video surveillance and make data-driven business choices that leverage analytics. Whether it's a retail outlet, supermarket, restaurant, shopping center, airport, or any other commercial property, Veda Labs empowers all sectors to derive real-time insights using machine learning and computer vision technology. By tracking consumer interactions from entry to exit, retailers receive a comprehensive view of their store's performance in real time. Enhancing customer experience is vital for growth, and with facial recognition technology, Veda Labs enables hotels to provide a superior service to their guests. Additionally, Veda offers extensive insights into warehouse security and operational efficiency, utilizing computer vision and machine learning at a large scale. Their AI-driven software features a proactive monitoring system that promptly alerts users about any unusual activities or tampering within the designated areas of interest, ensuring safety and security. This comprehensive approach not only increases awareness but also fosters a more responsive business environment.
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
Predator DNC
No
Predator MDC
No
Predator PDM
No
Predator RCM
No
Predator Touch HMI
No
Predator Virtual CNC
No
StayLinked
No
Integrations
Predator DNC
Yes
Predator MDC
Yes
Predator PDM
Yes
Predator RCM
Yes
Predator Touch HMI
Yes
Predator Virtual CNC
Yes
StayLinked
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Webinars
No
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
Veda Labs
Founded
2019
Country
United States
Website
www.vedalabs.in/
Vendor Details
Company Name
Cognex
Founded
1981
Country
United States
Website
www.cognex.com/products/deep-learning/visionpro-deep-learning
Product Features
People Counting
API
No
Anonymous Counting
No
Benchmarking
No
Car Counting
No
Conversion Tracking
No
Data Export
No
Events Statistics
No
Heatmaps
No
Mood/Age/Gender Recognition
No
Motion Detection
No
Reporting / Analytics
No
Retail Counting
No
Staff Exclusion
No
WiFi Tracking
No
Zone / Area Monitoring
No
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