Neural Guard

About Neural Guard

The startup develops an automatic threat detection system for security X-ray screening, utilizing artificial intelligence and computer vision technology to achieve high detection accuracy and sub-second image throughput. This system integrates seamlessly with existing X-ray equipment, providing ongoing threat updates to enhance border control and reduce false alarm rates in the aviation industry.

```xml <problem> Security X-ray screening relies heavily on human operators, leading to high failure rates and false alarms due to fatigue, distractions, and the increasing complexity of prohibited items. Slow throughput at security checkpoints also causes frustration and delays for passengers. </problem> <solution> NeuralGuard's EyeFox is an AI-powered threat detection system designed to automate and enhance security screening processes. Utilizing deep learning and computer vision, EyeFox analyzes X-ray images in real-time to identify hidden threats with high accuracy. The system integrates with existing X-ray and CT equipment, providing operators with immediate threat detection and reducing the need for manual inspections. By minimizing false alarms and improving detection rates, EyeFox aims to increase throughput, lower operational costs, and create a safer, more secure environment. </solution> <features> - AI-powered threat detection for X-ray and CT security screening - Sub-second detection time for rapid analysis - Algorithms trained on a vast dataset of over 3 million threat and non-threat images - Continuously improving algorithms that adapt to new threats - Minimizes false alarm rates to reduce manual inspections - Maximizes throughput to decrease wait times - Centralized image processing network that improves with data aggregation </features> <target_audience> The primary target audience includes aviation and mass transportation, law enforcement, event security, government buildings, e-commerce, maritime security, border control, critical infrastructure installations, mail screening, and cargo security. </target_audience> ```

What does Neural Guard do?

The startup develops an automatic threat detection system for security X-ray screening, utilizing artificial intelligence and computer vision technology to achieve high detection accuracy and sub-second image throughput. This system integrates seamlessly with existing X-ray equipment, providing ongoing threat updates to enhance border control and reduce false alarm rates in the aviation industry.

Where is Neural Guard located?

Neural Guard is based in London, United Kingdom.

When was Neural Guard founded?

Neural Guard was founded in 2019.

How much funding has Neural Guard raised?

Neural Guard has raised 3510000.

Location
London, United Kingdom
Founded
2019
Funding
3510000
Employees
15 employees

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Neural Guard

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Executive Summary

The startup develops an automatic threat detection system for security X-ray screening, utilizing artificial intelligence and computer vision technology to achieve high detection accuracy and sub-second image throughput. This system integrates seamlessly with existing X-ray equipment, providing ongoing threat updates to enhance border control and reduce false alarm rates in the aviation industry.

neuralguard.com1K+
Founded 2019London, United Kingdom

Funding

$

Estimated Funding

$3M+

Team (15+)

No team information available.

Company Description

Problem

Security X-ray screening relies heavily on human operators, leading to high failure rates and false alarms due to fatigue, distractions, and the increasing complexity of prohibited items. Slow throughput at security checkpoints also causes frustration and delays for passengers.

Solution

NeuralGuard's EyeFox is an AI-powered threat detection system designed to automate and enhance security screening processes. Utilizing deep learning and computer vision, EyeFox analyzes X-ray images in real-time to identify hidden threats with high accuracy. The system integrates with existing X-ray and CT equipment, providing operators with immediate threat detection and reducing the need for manual inspections. By minimizing false alarms and improving detection rates, EyeFox aims to increase throughput, lower operational costs, and create a safer, more secure environment.

Features

AI-powered threat detection for X-ray and CT security screening

Sub-second detection time for rapid analysis

Algorithms trained on a vast dataset of over 3 million threat and non-threat images

Continuously improving algorithms that adapt to new threats

Minimizes false alarm rates to reduce manual inspections

Maximizes throughput to decrease wait times

Centralized image processing network that improves with data aggregation

Target Audience

The primary target audience includes aviation and mass transportation, law enforcement, event security, government buildings, e-commerce, maritime security, border control, critical infrastructure installations, mail screening, and cargo security.

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