Product Overview | AI-Enabled Video Computing Appliance by Chuling
Company Innovation Strategy
Chuleng Shares previously releasedEdge AI Computing Gateway and Edge Computing Scheduling PlatformSolution: Our Edge Computing Appliance seamlessly integrates network capabilities, CPU, and GPU power. Leveraging a cloud-edge-device synergy strategy, it is the ideal solution for deploying private domain large models at the edge and terminal while connecting with public cloud models. Paired with our Edge Compute Scheduling Platform, it meets enterprises' data processing needs at the edge, featuring built-in pre-trained large models for natural language processing, computer vision, and more.Provides enterprise-grade data analytics and processing capabilities.
Currently, the company is further introducingIntelligent Video Surveillance Platform: An integrated solution combining edge computing appliances, an edge compute scheduling platform, and a smart video surveillance system., providing comprehensive support for the video surveillance industry.
Overview of Video Computing All-in-One Machine
The Video Computing Appliance is an integrated smart device that combines video capture, processing, and analysis. Its key advantage lies in powerful, efficient, and stable algorithmic performance. Leveraging deep learning, it supports multi-scenario applications such as facial recognition, vehicle detection, and behavior analysis, achieving a target identification accuracy of over 99% even in complex environments.
The device supports user-defined algorithm models that can be optimized and adjusted to meet specific needs, flexibly adapting to various application scenarios. With powerful computing capabilities, the system efficiently handles massive video data processing requirements, delivering real-time and accurate video analysis results for users. It is widely used in security surveillance, intelligent transportation, and business analytics.
Technical Advantages
01 integrates deep learning technology
Integrates object tracking, image processing, and other technologies for high accuracy and low false-positive rates.
02 Pre-event Warning and Post-event Evidence Collection
The AI-powered video surveillance platform not only supports post-incident evidence collection but also proactively identifies potential risks to enable early warnings, improving management efficiency and reducing labor costs.
03 High-performance computing power and diverse algorithms
Equipped with a high-performance AI deep learning SoC for powerful computing, featuring 16GB RAM and 32GB storage. Supports up to 200 camera inputs and includes up to 50 built-in AI recognition algorithms.
04 Private Deployment with Real-Time Response
Supports private deployment for secure and stable system operation. Compatible with mainstream IPC protocols to enable rapid camera integration on-site. Features low-latency processing for real-time data analysis and instant alert triggering.
05 powerful data processing capabilities
The system analyzes and processes video data in milliseconds, pushing real-time alerts to mobile or PC devices to enable rapid response to anomalies.
Product Features
01 Real-time video stream processing
Leverage AI video recognition to efficiently process real-time video streams, rapidly analyze each frame, and extract key information.
02 Object Detection and Tracking
The system uses AI algorithms to automatically detect and track target objects in real time, identifying key events such as unauthorized personnel entry and anomalous behavior.
03 Deep Learning Support
Leverages deep learning algorithms to analyze video content in real time, automatically detect anomalous behaviors, and trigger alerts.
04 Data Annotation and Model Training
Label massive monitoring data to distinguish normal from abnormal cases, and train deep learning models to improve autonomous recognition capabilities.
05 anomaly detection
Real-time analysis of surveillance video to detect anomalies and trigger alerts.
06 Video Quality Diagnosis
Diagnose and alert for video blurring, freezing, loss, and occlusion to ensure stable camera operation.
07 Server Cluster Management
Support on-demand server cluster configuration to enhance video data processing efficiency.
08 Device Linkage Control
Interoperates with broadcast, fire alarm, and access control systems to enhance response capabilities after alerts.
