Android Beehive Queen Monitor App
Budget / Salary€30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
I need an Android application that links to an external camera mounted inside a beehive, analyses the live feed with colour-based recognition and instantly warns me whenever the queen comes into or drops out of view.
The workflow is straightforward: the app receives the video stream from the external camera, processes each frame locally (OpenCV or TensorFlow Lite are fine), isolates the queen by the distinctive colour mark on her thorax, then triggers real-time alerts through push notifications and an on-screen banner. A simple dashboard should show the live video with an overlay around the detected queen and log each event with a timestamp so I can review activity later.
Deliverables
• Full Android Studio project (Java or Kotlin) with clean, documented code
• Trained or trainable model/code for colour-based queen detection
• Functional APK ready for sideloading
• Brief setup guide covering camera connection, model retraining and alert configuration
The solution only has to run on Android; iOS support is not required. The camera is external, so the app must accept a network or serial feed rather than relying on the phone’s internal lens. Real-time alerts are essential; extra features like long-term analytics can wait for a later phase.
Hand-off is complete when the APK installs cleanly, detects the queen under normal hive lighting and sends notifications within a second of detection.
The workflow is straightforward: the app receives the video stream from the external camera, processes each frame locally (OpenCV or TensorFlow Lite are fine), isolates the queen by the distinctive colour mark on her thorax, then triggers real-time alerts through push notifications and an on-screen banner. A simple dashboard should show the live video with an overlay around the detected queen and log each event with a timestamp so I can review activity later.
Deliverables
• Full Android Studio project (Java or Kotlin) with clean, documented code
• Trained or trainable model/code for colour-based queen detection
• Functional APK ready for sideloading
• Brief setup guide covering camera connection, model retraining and alert configuration
The solution only has to run on Android; iOS support is not required. The camera is external, so the app must accept a network or serial feed rather than relying on the phone’s internal lens. Real-time alerts are essential; extra features like long-term analytics can wait for a later phase.
Hand-off is complete when the APK installs cleanly, detects the queen under normal hive lighting and sends notifications within a second of detection.
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