About CVEDIA-RT
CVEDIA-RT is a cross-platform AI inference engine from CVEDIA designed for building decision support systems. It combines advanced video analytics, RT Studio, and versatile inference capabilities so developers can create tailored AI solutions. The platform is modular, allowing users to integrate various AI models and synthetic data to meet specific application needs. It supports deployment across multiple environments and is compatible with hardware from Ambarella, improving flexibility in integration. Key capabilities: deployment AI models synthetic data advanced video analytics RT Studio Best for: developers and data scientists that need a reliable framework for creating and deploying AI-driven decision support applications.
CVEDIA-RT by CVEDIA is a sophisticated artificial intelligence software designed primarily for video analytics. Its main purpose is to provide businesses with a robust platform for designing and deploying AI-powered computer vision applications. Key features include pre-built AI models for face detection, object detection, and crowd estimation, all developed using proprietary synthetic data to ensure high accuracy and performance in real-world scenarios. The user interface of CVEDIA-RT is centered around its desktop application, RT Studio, which is designed to be intuitive and user-friendly. Users can easily navigate through the software to build and customize AI solutions tailored to their specific needs. The interface is clean and straightforward, with a focus on simplicity and ease of use. Unique design elements include a modular structure where every feature is a plugin, allowing users to add or remove functionalities as needed, which enhances the overall user experience. Functionality-wise, CVEDIA-RT excels with its comprehensive set of features. It supports multiple inference backends, including X11 and Windows, making it versatile across different devices from desktops to servers.
Pros & Cons
- High Accuracy: CVEDIA-RT models demonstrate better accuracy compared to other alternatives in crowd estimation and object detection.
- Resource Efficiency: The software operates quickly and utilizes fewer system resources, making it suitable for various use cases.
- Versatile Usage: It can support multiple video sources (webcams, RTSP cameras, etc.) and integrate into different applications.
- Effective for Specific Applications: Successful integration into specific use cases, such as using video feeds as parking sensors.
- Complex Setup: Initial setup and customization can be challenging, requiring a learning curve to understand the system's settings.
- Multi-Camera Limitations: There are constraints in conducting analyses using multiple camera feeds concurrently within a unified interface.
- Data Retrieval Issues: Some users reported difficulties in obtaining the right type of data from CVEDIA for their specific applications.
Features
Key features
Provides advanced video analytics capabilities for tasks like object detection and classification.
Offers a desktop application for building and customizing AI solutions.
Includes pre-trained AI models for various use cases.
Supports a wide range of inference backends for flexible deployment.
Allows for customization with plugins and a C++ SDK.
Supports various video inputs and processing options.
Additional features
Provides advanced capabilities for analyzing video content, including object detection and classification.
A desktop application for building and customizing AI solutions without requiring extensive coding knowledge.
Offers a variety of pre-trained AI models for different use cases, such as face detection, vehicle and people detection, and crowd estimation.
Supports a wide range of inference backends, allowing for flexible deployment on different hardware and software platforms.
Enables customization and integration with other systems through its modular architecture and C++ SDK.
Supports various video processing techniques like undistorting fish-eye images and blurring for specific applications.
Provides pre-built solutions for common use cases like crowd estimation, perimeter security, aerial surveillance, smart parking, and smart home applications.
Supports deployment on multiple platforms, including Windows, Linux, NVIDIA Jetson, and Ambarella, to cater to different hardware requirements.
Offers various support channels like email, Discord, forum, and phone calls to assist users with any questions or issues.
Pricing
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About CVEDIA-RT
CVEDIA-RT is a cross-platform AI inference engine from CVEDIA designed for building decision support systems. It combines advanced video analytics, RT Studio, and versatile inference capabilities so developers can create tailored AI solutions. The platform is modular, allowing users to integrate various AI models and synthetic data to meet specific application needs. It supports deployment across multiple environments and is compatible with hardware from Ambarella, improving flexibility in integration. Key capabilities: deployment AI models synthetic data advanced video analytics RT Studio Best for: developers and data scientists that need a reliable framework for creating and deploying AI-driven decision support applications.
CVEDIA-RT Details
CVEDIA-RT's In-App Market Place
Does CVEDIA-RT have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), KRW (₩), INR (₹), RUB (₽), BRL (R$)
Pros & Cons
- High Accuracy: CVEDIA-RT models demonstrate better accuracy compared to other alternatives in crowd estimation and object detection.
- Resource Efficiency: The software operates quickly and utilizes fewer system resources, making it suitable for various use cases.
- Versatile Usage: It can support multiple video sources (webcams, RTSP cameras, etc.) and integrate into different applications.
- Effective for Specific Applications: Successful integration into specific use cases, such as using video feeds as parking sensors.
- Complex Setup: Initial setup and customization can be challenging, requiring a learning curve to understand the system's settings.
- Multi-Camera Limitations: There are constraints in conducting analyses using multiple camera feeds concurrently within a unified interface.
- Data Retrieval Issues: Some users reported difficulties in obtaining the right type of data from CVEDIA for their specific applications.
CVEDIA-RT's Support Options
Email Address
support@cvedia.comContact
+1(703)459-1091Documentation
http://docs.cvedia.com/Community Forums
https://discord.com/invite/MQ9DMqaE4eCVEDIA-RT's Alternatives
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