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Average Ratings 0 Ratings
Description
A wireless gunshot detection sensor designed for outdoor use captures energy, analyzes waveforms, and sends the processed data to the Emergency Automatic Gunshot Detection & Lockdown (EAGL) system, which is a comprehensive Gunshot Detection System (GDS). This compact, self-sufficient, battery-powered sensor performs validation analysis to differentiate between threats and non-threats through advanced energy waveform algorithms. Housed within a resonance chamber, it can be mounted flat against walls, in corners, or on poles, ensuring optimal spherical detection coverage. The sensor wirelessly relays threat validation information to the EAGL System Server through an internal Quectel module. Once the EAGL System Server receives the sensor data, it further processes the information to initiate the necessary pre-programmed automatic and adaptive response protocols. Additionally, the sensor is capable of receiving calibration updates from the EAGL Server, utilizing the same communication protocols for seamless operation and accuracy. This dual functionality enhances both the detection and response capabilities, making the system more efficient in real-time scenarios.
Description
The SensiML Analytics Toolkit enables the swift development of smart IoT sensor devices while simplifying the complexities of data science. It focuses on creating compact algorithms designed to run on small IoT endpoints instead of relying on cloud processing. By gathering precise, traceable, and version-controlled datasets, it enhances data integrity. The toolkit employs advanced AutoML code generation to facilitate the rapid creation of autonomous device code. Users can select their preferred interface and level of AI expertise while maintaining full oversight of all algorithm components. It also supports the development of edge tuning models that adapt behavior based on incoming data over time. The SensiML Analytics Toolkit automates every step necessary for crafting optimized AI recognition code for IoT sensors. Utilizing an expanding library of sophisticated machine learning and AI algorithms, the overall workflow produces code capable of learning from new data, whether during development or after deployment. Moreover, non-invasive applications for rapid disease screening that intelligently classify multiple bio-sensing inputs serve as essential tools for aiding healthcare decision-making processes. This capability positions the toolkit as an invaluable resource in both tech and healthcare sectors.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
EAGL Technology
Country
United States
Website
eagltechnology.com/dragonfly-iot/
Vendor Details
Company Name
SensiML
Founded
2017
Country
United States
Website
sensiml.com
Product Features
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization