Fire/Smoke Detection-Server
This solutions demonstrates fire/smoke detection SDK which transforms your CCTV system into an early warning sensor for fire & smoke through docker image pre-built.
Last updated
This solutions demonstrates fire/smoke detection SDK which transforms your CCTV system into an early warning sensor for fire & smoke through docker image pre-built.
Last updated
Fires often begin in quiet, low-traffic areas—electrical rooms, loading docks, storage areas—where nobody’s watching. KBY-AI
's fire/smoke detection SDK
turns your existing CCTV into smart fire sentries, instantly detecting smoke or flames before they spiral into a crisis. Perfect for warehouses, industrial sites, and logistics hubs.
We offer lifetime license(perpetual license)
based on machine ID
for every server(Windows
, Linux
). The license is available for one-time payment
. In other words, once you purchase license from me, you can use our SDK
permanently.
To request a license, please contact us:
Email: contact@kby-ai.com
CPU: 2 cores or more (Recommended: 2 cores)
RAM: 4 GB or more (Recommended: 8 GB)
HDD: 4 GB or more (Recommended: 8 GB)
OS: Windows 7 or later
Architecture: x64
CPU: 2 cores or more (Recommended: 2 cores)
RAM: 4 GB or more (Recommended: 8 GB)
HDD: 4 GB or more (Recommended: 8 GB)
OS: Ubuntu 20.04 or later
Architecture: x64
Pull Docker
image.
Read machine code
Send us machine code
obtained.
Create a license.txt
file and write the license key that you received from KBY-AI
team.
Run Docker
container
Here are the endpoints to test the API
through Postman
:
To test with an image file, send a POST
request to http://{xx.xx.xx.xx}:8081/fire
.
To test with a base64-encoded
image, send a POST
request to http://{xx.xx.xx.xx}:8081/fire_base64
.
The SDK
provides a single API to get machine code
SDK
Read license.txt
file and activate SDK
with setActivation()
function as follows.