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ease
features
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support

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Description

The FireFly® Indoor Gunshot Detector is a wireless device specifically engineered for indoor use. Its installation process is straightforward, requiring only two fasteners to secure each sensor in place. The positioning of the sensors is crucial as it influences the area they can effectively monitor, with an unobstructed detection range potentially covering up to 31,415 square feet. This compact and battery-operated gunshot sensor autonomously performs a validation analysis to distinguish between actual threats and non-threats by utilizing advanced algorithms that assess energy levels and waveforms. Typically, the sensors are installed on horizontal ceiling surfaces, thereby achieving a detection coverage area of approximately 31,415 square feet. However, when mounted on vertical columns, the coverage area is notably reduced. The sensor transmits threat validation data wirelessly to the EAGL System Server through the EAGL Gateway, where the information undergoes further processing. This processing triggers the appropriate pre-programmed autonomous Adaptive Response features and protocols, ensuring a rapid and effective reaction to potential threats. Additionally, the integration of these systems enhances overall safety and security in indoor environments.

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

Screenshots View All

Screenshots View All

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/firefly-indoor-gunshot-detector/

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

Alternatives

Alternatives

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