lynkos/algae-detection
Detect and identify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).
This project helps environmental managers and water quality specialists detect and identify harmful algae species in natural water bodies in real-time. By connecting a low-cost camera (like an ESP32-CAM, smartphone, or webcam), you can feed live video or images into the system, which then identifies different types of algae. This provides immediate insights for monitoring water quality and preventing harmful algal blooms.
No commits in the last 6 months.
Use this if you need a low-cost, real-time system to monitor water bodies for the presence and identification of harmful algae using readily available camera technology.
Not ideal if you require highly precise laboratory-grade microscopic analysis of water samples or if your budget allows for more advanced, dedicated water quality sensor equipment.
Stars
14
Forks
2
Language
C++
License
MIT
Category
Last pushed
Jul 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/lynkos/algae-detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
s60sc/ESP32-CAM_MJPEG2SD
ESP32 Camera motion capture application to record JPEGs to SD card as AVI files and stream to...
Mr-Homeless/waldo
Waldo Vision | Cheat detection
HornedSungem/SungemSDK
Horned Sungem
maxlab-io/tokay-lite-sdk
Tokay Lite: Low Power Edge AI Camera SDK
klumw/esp32_cam_face_recognition
esp32-cam face recognition with MQTT and esp-who framework