| Trial Project |
Provision of Service for Artificial Intelligence Video Analytic System for Intrusion Detection of Railway
(REF: P-0200) |
| Matched I&T Wish |
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| Matched I&T Solution |
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| Solution Feature |
- A.I. intrusion detection technology: using A.I. video analytics and LiDAR detection technologies to detect intrusion of objects into the restricted premises of the railway
- Wireless 5G/LTE connectivity: no need for ethernet
- Self-sustainable power supply: using solar panel energy with backup lithium battery
- Automatic Instant SMS/WhatsApp/Email Alert: if the intrusion solution detects objects intruding into the railway, an instant Alert would be sent to the railway controller’s phone to prevent an accident
- Stand-alone and flexible deployment: The solution can attach itself onto the surrounding environment, i.e., streetlight pole or fences.
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| Trial Information |
| Trial Site |
: |
EMSD Headquarters |
| Trial Scale |
: |
1 no. of system |
| Trial Duration |
: |
Sep 2021 to Mar 2023 |
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| Info on I&T Solution Provider |
| Solution Provider | : | AI Academy | | Address | : | Unit 648, 6/F, Building 19W No. 19 Science Park West Avenue Hong Kong Science Park, Pak Shek Kok. | | Contact Person | : | Derek Sze-Ho Ng |
| Position | : | Business Development Manager | | Tel | : | 92261015 | | Email | : |
derek@ai-academy.hk | | Webpage | : | https://www.ai-academy.hk/ |
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