About
Eyesonhives is an intelligent beehive monitoring platform built for commercial beekeepers, hobbyists, and researchers who want data-driven insights into colony health. Using proprietary computer vision algorithms and IoT edge devices, the system captures and automatically analyzes video of hive entrance activity—measuring metrics like bees per second and detecting behavioral patterns associated with hive health or stress. The platform offers end-to-end auto data capture, meaning devices intelligently record, process, and upload data without manual intervention. All data is securely backed up to the cloud and accessible remotely from anywhere, including via iOS and Android mobile apps that feature an augmented reality beehive experience. Eyesonhives supports four detectable behavioral patterns, has accumulated over 21.6 million data points, and maintains a 7 TB+ bee dataset—one of the largest in the world. Researchers can license and export this dataset for independent analysis, making the platform a powerful tool for academic and commercial bee research. Additional services include expert consulting in machine vision and beekeeping technology, a premium support tier for mission-critical deployments, and a cloud platform for long-term dataset management. With more than 120 devices currently deployed in the field, Eyesonhives is helping address the global crisis of unsustainable bee colony loss by enabling proactive, evidence-based hive management.
Key Features
- AI Video Analytics on the Edge: Automatically analyzes hive entrance video directly on the device using computer vision algorithms, delivering real-time bee activity metrics like bees per second without relying on cloud processing.
- Auto Data Capture & Cloud Sync: Devices intelligently gather, process, and upload hive data to the cloud without manual intervention, keeping historical records accessible from anywhere at any time.
- Behavioral Pattern Detection: Identifies four key beehive behavioral patterns that indicate colony health, stress, or activity levels, enabling proactive hive management.
- Research Dataset & Export: Researchers can license and export data from the world's largest bee dataset—over 7 TB—for independent analysis and academic research.
- Mobile App with Augmented Reality: iOS and Android apps provide remote hive monitoring and include an augmented reality beehive experience for an immersive view of colony activity.
Use Cases
- Commercial beekeepers remotely tracking colony activity across multiple hive locations to optimize inspection schedules and reduce labor costs.
- Academic researchers studying pollinator behavior, colony collapse disorder, or the impact of environmental stressors using large-scale, standardized video datasets.
- Growers and agricultural operations monitoring hired pollination colonies to verify bee health and activity during critical crop flowering periods.
- Hobbyist beekeepers using mobile AR features and cloud data to stay connected with their hives without frequent physical disruptions.
- Conservation organizations and environmental agencies collecting longitudinal bee population data to track the impact of pesticides, climate change, or habitat loss.
Pros
- Non-Invasive Monitoring: Video-based monitoring means hives are never disturbed, reducing stress on colonies while still capturing rich behavioral data.
- World's Largest Bee Dataset: With 7 TB+ of data and 21.6M+ data points, researchers gain access to an unparalleled resource for bee health studies.
- Remote & Real-Time Access: Cloud-backed data and mobile apps allow beekeepers to monitor hives from anywhere, reducing the need for frequent on-site inspections.
Cons
- Paid Hardware & Service Required: The system requires purchasing physical monitoring hardware and subscribing to services, which may be cost-prohibitive for small-scale hobbyists.
- Limited to Entrance Activity: Monitoring is focused on hive entrance video; internal colony conditions such as brood health or honey stores are not directly observable.
Frequently Asked Questions
What types of beekeepers is Eyesonhives designed for?
Eyesonhives is designed for commercial beekeepers, hobbyists, and researchers. It scales from individual hive monitoring to large multi-site operations, with enterprise support options available.
How does the AI analyze beehive activity?
The system uses edge-computing computer vision algorithms to analyze video captured at the hive entrance. It counts bees, measures bees per second, and detects behavioral patterns linked to colony health—all processed locally on the device before syncing to the cloud.
Can researchers access or export the bee dataset?
Yes. Researchers can license and export data from the Eyesonhives cloud platform for independent analysis, making it a valuable resource for academic and scientific bee research.
Is there a mobile app available?
Yes. Eyesonhives offers iOS and Android apps that provide remote access to hive data and include an augmented reality beehive experience.
How many behavioral patterns can Eyesonhives detect?
The platform currently detects four distinct beehive behavioral patterns that can indicate changes in colony health, activity levels, or potential stress events.
