| I&T Solution |
IoT Based Ovitrap for Regular Monitoring of Dengue Fever
(REF: S-1147) |
| Trial Project |
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| Solution Feature |
- Develop an IoT based ovitrap for regular monitoring of dengue fever
- Measure the density of Aedine mosquitoes by using AI Image Recognition Module
- Automate the reporting of the measured density regularly to the backend data server over Government Wide IoT Network (GWIN)
- Compile the Ovitrap Index and publish it automatically to the website of the concerned department and the Government open platform
- A dashboard to show the Ovitrap Index
|
| Trial Application and Expected Outcome |
- Develop an IoT based ovitrap for regular monitoring of dengue fever
- Measure the density of Aedine mosquitoes by using AI Image Recognition Module
- Automate the reporting of the measured density regularly (remotely configurable e.g. daily) to the backend data server over Government Wide IoT Network (GWIN)
- Compile the Ovitrap Index and publish it automatically to the website of the concerned department and the Government open platform
- A dashboard to show the Ovitrap Index
|
| Additional Solution Information |
Proposal_IOT_Mosquito_Sensor_v2.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | RISKSIS TECHNOLOGY LIMITED | | Address | : | Room 701, Building 10W, HKSTP | | Contact Person | : | Alan Lee |
| Position | : | Director | | Tel | : | 60516869 | | Email | : |
alan.lee@risksis.com | | Webpage | : | www.risksis.com |
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