CVEDIA-RT

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Software Status:Active

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

Vendor

CVEDIA

Year Launched

2016

Location

531 A Upper Cross Street, #04-95 Hong Lim Complex, Singapore, 051531, Singapore.

Deployment

cloud, on premise, windows, linux

Training Options

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Russian, Chinese, Japanese, Korean, Portuguese, Dutch, Arabic, Turkish, Swedish, Norwegian, Finnish, Danish, Polish, Czech, Hungarian, Romanian

Users

Research Analysts, Computer Vision Engineers, Machine Learning Engineers, Data Scientists

Industries Served

Healthcare, Retail, Automotive, Defense, Agriculture, Manufacturing, Robotics

CVEDIA-RT's In-App Market Place

Does CVEDIA-RT have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Promo Offer

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.