当前位置:网站首页>Intelligent digital signage solution
Intelligent digital signage solution
2022-06-23 13:44:00 【Intel edge computing community】
Use Intel Distribution version OpenVINO The tool suite identifies the demographic characteristics of the audience , Then adjust the advertising to cater to the audience
Target operating system :Ubuntu* 16.04 LTS
Completion time :45 minute
The software used :
Intel Distribution version OpenVINO Tool set
Intel System Studio
The model used :
age-gender-recognition-retail-0013
head-pose-estimation-adas-0001

Your learning content
This application uses a video camera as part of the digital kiosk system , Identify the age and gender of the audience standing in front of the digital signage . The application selects the appropriate... Based on the recognition results 4K advertisement . Real time data visualization takes place in Grafana* On , It enables developers to monitor trends over time .
Learn more about the following solutions :
- Computer vision application of Internet of things
- Reasoning for analyzing data sets
- Internet of things in retail market
Learn to build and run an application , Its function is :
- * Using deep neural networks (DNN) Model determination age 、 Gender and head position .
- * Play according to the audience recognition results 4K advertisement .
- * Use a combination of InfluxDB* and Grafana Visualize the analysis results .
working principle
The application works as follows :
- * A deep neural network model is used to detect the face in the frame of interest .
- * Two other deep neural network models are used to determine the age of each face 、 Gender and head position .
- * Model output provides demographic characteristics of the audience , And according to JSON The booking form included in the document determines the appropriate advertisement to be displayed .
- * Use Intel Media SDK High efficiency video coding included in (HEVC) The plug-in decodes and plays advertisements .
- * Audience number 、 Unique visitors and visitor gender are stored in InfluxDB And use Grafana Show .
- Deep neural network model for Intel Structure optimization , And included in the Intel distribution OpenVINO In the tool set .

边栏推荐
- Proofs of Elsevier Elsevier Journal (Neptune Neptune) (problems encountered: latex remove the chapter number)
- How do I turn on / off the timestamp when debugging the chrome console?
- [Course preview] AI meter industry solution based on propeller and openvino | industrial meter reading and character detection
- Quartus II 13.1 安装步骤详解
- Quarkus+saas multi tenant dynamic data source switching is simple and perfect
- Is it safe for flush to open an account online? What should we pay attention to
- How to use androd gradle module dependency replacement
- Hanyuan high tech USB2.0 optical transceiver USB2.0 optical fiber extender USB2.0 optical fiber transmitter USB2.0 interface to optical fiber
- Hanyuan hi tech 8-way telephone +1-way 100M Ethernet RJ11 telephone optical transceiver 8-way PCM telephone optical transceiver
- CRMEB 二开短信功能教程
猜你喜欢

MIT 6.031 reading5: version control learning experience

利用XtraDiagram.DiagramControl进行流程图形的绘制和控制

Gradle Build Cache引发的Task缓存编译问题怎么解决

AAIG看全球6月刊(上)发布|AI人格真的觉醒了吗?NLP哪个细分方向最具社会价值?Get新观点新启发~

Deci 和英特尔如何在 MLPerf 上实现高达 16.8 倍的吞吐量提升和 +1.74% 的准确性提升

Edge and IOT academic resources

你管这破玩意儿叫 MQ?

20000 words + 30 pictures | MySQL log: what is the use of undo log, redo log and binlog?

Best practices for auto plug-ins and automatic batch processing in openvinotm 2022.1

Digraph D and e
随机推荐
sed -i命令怎么使用
Runtime application self-protection (rasp): self-cultivation of application security
Configure SSH Remote Login for H3C switch
. Net how to use log framework NLog
Digraph D and e
Strengthen the sense of responsibility and bottom line thinking to build a "safety dike" for flood fighting and rescue
Deci 和英特尔如何在 MLPerf 上实现高达 16.8 倍的吞吐量提升和 +1.74% 的准确性提升
爱思唯尔-Elsevier期刊的校稿流程记录(Proofs)(海王星Neptune)(遇到问题:latex去掉章节序号)
如何打开/关闭chrome控制台调试时的时间戳?
Quartus call & Design d Trigger - simulation & time sequence Wave Verification
RestCloud ETL解决shell脚本参数化
Simplify deployment with openvino model server and tensorflow serving
Cloud native essay deep understanding of ingress
AI 参考套件
64 channel PCM telephone optical transceiver 64 channel telephone +2-channel 100M Ethernet telephone optical transceiver 64 channel telephone PCM voice optical transceiver
AI reference kit
腾讯的技术牛人们,是如何完成全面上云这件事儿的?
怎么手写vite插件
何小鹏:如果可以回到创业的时候 不会以自己的名字给产品命名
Hanyuan hi tech 8-way telephone +1-way 100M Ethernet RJ11 telephone optical transceiver 8-way PCM telephone optical transceiver