Safety-in-Production Solution-ThunderSoft

The solution uses edge computing and smart video analysis to monitor employee and visitor behaviors, dresses, environments, and equipment status. Such monitoring can then be analyzed to warn of risks in production. In this way, it strengthens risk control in safe production and empowers traditional enterprises to quickly upgrade to digital and intelligent monitoring of safety-in-production.

System Architecture

ThunderSoft provides an integrated safety-in-production solution (algorithm+computing power+platform). On device side field data is collected by video monitoring and sensor devices. Then edge box performs real-time analysis. The cloud centrally manages equipment, smart algorithm, early warning, monitoring, and visualization.

Safety-in-production scenario algorithms

Smoke and flame detection

Safety helmet, reflective clothing, uniform detection

Intrusion detection

Unauthorized leave detection

Off-duty and sleep detection

Smoking detection

Phone call detection

Fall detection

Number of operators monitoring

Highlight

Solution Deployment

• AI monitoring network deployment can choose wired or wireless deployment according to the needs, and select
• wired/wireless AI edge computing servers according to deployment needs
• Wired deployment: An on-premises Extranet environment is required Wireless deployment: 4G/5G networks can be used, without the need to deploy an extranet environment

Application Scenarios

Construction site

Oil field

Industrial park

Vessel

成功案例

京东方液晶面板工厂

利用边缘设备和云服务技术，实现了人脸识别门禁、安全管理、照明和空调管理等

Learn More Safety-in-Production Solution插图22

施耐德电器工厂

可视(基于GIS的物联网感知)，可管(园区人事物的管理和控制)，可控(趋势预测，风险可控)

Learn More Safety-in-Production Solution插图22

Core Product

EBX Edge AI Station Series

ThunderSoft EBX Edge AI Station are designed for diversified edge computing demands from varied vertical fields and scenarios, including smart industry, smart buildings, smart transportation, smart energy, smart retail. EBX series is built on high-performance and low-power edge intelligence platforms, supports deep neural network algorithms, edge-cloud synergy, and integrates multiple processing modules, which are convenient for development, deployment and maintenance.