🦜 Discover the DeWieSe Module – Your Ultimate Solution for Precise Bird Event Detection and Analysis

The DeWieSe Module is a cutting-edge tool designed to manage and process bird event data with exceptional accuracy. Leveraging advanced acoustic signal processing and intelligent filtering, this module empowers you to detect, analyze, and store bird species events seamlessly within your system.

🌟 Why Choose the DeWieSe Module?

• 🎯 Accurate Probability Filtering: Filter bird events based on a customizable probability threshold to ensure only the most likely events are processed and analyzed.
• 💾 Comprehensive Event Storage: Save detailed bird event data, including timestamps, sensor IDs, GPS coordinates, and directional information, directly to your database for future analysis and auditing.
• 🧭 Direction Analysis: Utilize sophisticated algorithms to determine the precise direction of bird calls, aiding in tracking movement patterns and behavioral studies.
• 🦉 Bird Species Verification: Verify the accuracy of bird species identification using configurable confidence levels, ensuring reliable data for your projects.
• 🤝 Real-Time Collaboration: Share and manage bird event sessions with your team, facilitating collaborative monitoring and troubleshooting.
• 💻 Support for Multiple Platforms: Compatible with both Windows and Linux devices, providing flexibility across diverse operating environments.
• 🗺️ Geomaps Integration: Visualize the location and distribution of bird events in real-time through integrated Geomaps, enhancing your monitoring capabilities.

✨ Your Benefits at a Glance

• 📈 Enhanced Accuracy: Minimize false positives by filtering events based on precise probability thresholds and confidence levels.
• 💾 Efficient Data Management: Seamlessly store and retrieve bird event data for comprehensive analysis and reporting.
• 🔍 Real-Time Insights: Gain immediate insights into bird activities with real-time direction analysis and event tracking.
• ⚙️ Flexible Configuration: Tailor the module’s settings to fit your specific requirements, including language preferences and model sizes.
• 🚀 Reliable Performance: Experience uninterrupted and dependable performance, backed by robust support and regular updates.

🚀 Perfect for Your Needs

Whether you’re a conservation organization monitoring bird populations, a research institution conducting behavioral studies, or an environmental agency tracking avian activities, the DeWieSe Module offers the tools you need to perform your tasks with precision and efficiency.

💼 Use Cases:

• 🌿 Wildlife Conservation: Monitor and analyze bird species in protected areas to support conservation efforts.
• 🔬 Academic Research: Conduct detailed studies on bird behavior and movement patterns using accurate event data.
• 🌍 Environmental Monitoring: Track avian activities to assess ecosystem health and biodiversity.
• 🏙️ Smart City Initiatives: Integrate bird event tracking into urban management systems to enhance environmental planning and public safety.

Start today with the DeWieSe Module and transform bird acoustic signals into actionable data for your projects! 🦜

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💥 Highlights:

• 💪 Powerful & Flexible: Ideal for a wide range of applications in bird event detection and analysis.
• 🖱️ User-Friendly: Easy setup and integration with intuitive configuration options.
• 🔒 Secure & Reliable: Robust data management and continuous support ensure smooth operation.

Elevate your bird monitoring and analysis capabilities with the DeWieSe Module today! 🦜✨

| Field | Value | |-----------------------|---------------------------------------------------------------------------| | NAME | dewiese | | VERSION | 1.0.1 | | ALIAS | DeWieSe Sensor Plugin | | TAGS | sensor, event, DeWieSe, acoustic, detection, workflow integration, geolocation, event analysis | | SHORTDESCRIPTION | Detects and filters DeWieSe events using acoustic signals. | | DESCRIPTION | The DeWieSe Sensor Plugin is a powerful tool designed to manage and configure DeWieSe event sensors. DeWieSe events represent bird species detected through acoustic signals captured by an audio sensor. Each event includes detailed information such as the timestamp, sensor ID, location, and direction of the bird. Utilizing flow-based programming, you can easily set up workflows to process detected DeWieSe events. This plugin is ideal for enhancing event tracking, optimizing detection accuracy, and automating event management workflows. DeWieSe events can be filtered based on various criteria, stored securely, and accessed seamlessly via the provided API. Additionally, you can set up alerts and notifications for specific events to ensure timely responses. With Geomaps integration, visualize the location and distribution of DeWieSe events, enabling real-time monitoring of bird species. |

Module Nodes

the module nodes are the building blocks for the flow-based programming. Each node represents a specific task or operation that can be performed by the module. The following table lists the available nodes for this module.

• Check Bird Species
• Filter DeWieSe Event by Probability
• Analyze Direction
• Random Bird Event
• Save DeWieSe Event

Check Bird Species

Check if the bird species is correctly identified.

Metadata:

• Name: AnalyzeDeWieSeEvent
• Tags: analysis, bird species, DeWieSe event
• Category: Action
• Subcategory: Analysis > Dewieseevent

Description:

The node checks if the bird species is correctly identified based on the probability threshold. If the probability of the bird species is above the threshold, the node will output a success message. Otherwise, it will output a failure message. This node is useful for verifying the accuracy of bird species identification in DeWieSe events.

Inputs: (1)

• RecordFile : The filepath where the recording is stored.

Outputs: (1)

• Result : The result of the analysis of the bird species identification.

Configuration:

The following configuration parameters can be set for this node:

AnalyzeDeWieSeEventConfig: { 
	
	# The version of the bird species identification model.
  version: string,
	# The name of the bird species identification model.
  model: string,
	# The minimum confidence level required for the bird species identification.
  confidence: double,
	# The language of the bird species name.
  language: string,
	# Model size: small (EffNetB0), medium (EffNetB2), large (EffNetV2).
  size: string,
}

Filter DeWieSe Event by Probability

Filter events by probability value.

Metadata:

• Name: FilterProbabilityDeWieSeEvent
• Tags: filter, probability, DeWieSe event
• Category: Filter
• Subcategory: Probability > Dewieseevent

Description:

The node filters events based on a probability value between 0 and 1. The value represents the likelihood of the event occurring. If the probability of the event is greater than the configured threshold, the node will output the event. This node is useful for filtering events based on their likelihood of occurrence.

Inputs: (1)

• DeWieSeEvent to filter : The DeWieSeEvent to filter process and filter the data. if the condition is true, the data will be passed to the next node, otherwise it will be filtered.

Outputs: (2)

• Rejected (Failed) : The condition is false and the data is filtered an labeled as failed without the reason. (value is higger than xy)
• Accepted (Success) : The condition is true and the data is passed to the next node without modification.

Configuration:

The following configuration parameters can be set for this node:

NodeProbabilityConfig: { 
	
	# The probability threshold
  probability: int32,
}

Analyze Direction

Get the direction of the bird from audio data.

Metadata:

• Name: GetDirectionDeWieSeEvent
• Tags: filter, validator, DeWieSe event
• Category: Filter
• Subcategory: Validator > Dewieseevent

Description:

The node analyzes the audio data to determine the direction of the bird. The direction is calculated based on the sound intensity and frequency of the bird's call. This node executes a complex algorithm to accurately determine the direction of the bird. Output will be in degrees, with 0 degrees representing the north direction. This node is useful for tracking the movement of birds and analyzing their behavior. This node can be configured to output the direction in different formats, such as degrees or cardinal directions.

Inputs: (1)

• DeWieSeEvent : The DeWieSe event with the previously identified bird species and the path to the audio file.

Outputs: (1)

• Result : The Event with added direction information in degrees.

Configuration:

The following configuration parameters can be set for this node:

GetDirectionDeWieSeEventConfig: { 
	
	# The path to the binary file used for analyzing the audio data.
  path_to_binary: string,
	# The model used for analyzing the audio data.
  model: string,
}

Random Bird Event

Generate a random bird event for testing purposes.

Metadata:

• Name: RandomBirdEvent
• Tags: producer, random, bird event, test
• Category: Producer
• Subcategory: Random > Birdevent

Description:

This node generates a random bird event for testing purposes only. The bird event contains information such as the timestamp, sensor ID, bird status, and other relevant data. This node is useful for testing other nodes that require a bird event as input. The rate of generating random bird events can be configured by the input trigger.

Inputs: (1)

• Get DeWieSeEvent : Trigger to get DeWieSeEvent data

Outputs: (1)

• DeWieSeEvent : Output for DeWieSeEvent data

Configuration:

The following configuration parameters can be set for this node:

RandombirdEventConfig: { 
	
	# The type of bird species to generate.
  bird_species: string,
	# The probability or confidence level of the event being correctly identified.
  confidence: int32,
}

Save DeWieSe Event

Receive and save event to database.

Metadata:

• Name: SaveDeWieSeEvent
• Tags: save, database, event, sql
• Category: Consumer
• Subcategory: Database > Dewieseevent

Description:

The node saves an event in the database. The event contains information such as the timestamp, sensor ID, GPS coordinates, and direction of the event. This node is useful for storing events for analysis, monitoring, or auditing purposes. During the save operation, the data will be validated and stored in the database. If the save operation is successful, the node will output a success message.

Inputs: (1)

• DeWieSeEvent to save : The DeWieSeEvent to save in the database or file.

Outputs: (1)

• Is Success : Success

Configuration:

No configuration required for this node.