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Authorized Personnel
Brood Temp
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Target: 30°CHumidity
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Range: 60-70%Hive Weight
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Growth: +2%Acoustics
Normal
ListeningEntrance
Active
● LiveMicroclimate Trends
Real-time
Detected Events
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An advanced IoT & Machine Learning monitoring system designed to protect native stingless bee colonies through non-invasive acoustic and visual analysis.
Tetragonula biroi, locally known as "Kiyot" or "Lukot", is a species of stingless bee native to the Philippines. Unlike honeybees, they do not sting but defend their colonies by biting and using resin. They are vital pollinators for mangoes, coconuts, and dipterocarp forests.
They are generalist pollinators, visiting a wide variety of flowering plants. Their small size allows them to enter flowers that larger bees cannot access.
Stored in pots made of beeswax and resin, their honey is more liquid and acidic than Apis honey, known for high antioxidant and antimicrobial properties.
Lacking a sting, they construct intricate entrance tubes and seal intruders in sticky resin (Propolis) to neutralize threats to the colony.
The HiveMind system utilizes a dual-sensor approach to monitor colony health non-invasively. By analyzing wingbeat frequencies (Audio) and entrance traffic patterns (Video), the system can detect anomalies such as pest intrusion (e.g., Phorid flies) or thermal stress without breaking the hive's involucrum seal.
In special collaboration with Hardin sa Parang
Quezon City University • BS Electronics Engineering
Academic Year 2025 - 2026
Secure System Access
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Authorized Personnel
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Target: 30°C--
Range: 60-70%--
Growth: +2%Normal
ListeningActive
● Live| Timestamp | Event Description | ML Confidence | Status |
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Frequency of sensor data updates from ESP32
Threshold for triggering intrusion alerts
Play sound when alert is triggered
Abnormal buzzing pattern detected at the hive entrance