State-of-the-Art Technology Modules

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In security environments, advanced technology such as Apollo’s Security Modules are being employed to help detect and respond to potential threats more efficiently. For instance, smart cameras equipped with intelligent software can analyze video footage in real-time, automatically recognizing suspicious behavior or objects like weapons. This allows security personnel to quickly identify and address security risks before they escalate, enhancing overall safety and protection for everyone involved.

Additionally, sensors and monitoring systems using Apollo’s Security Modules can track movement patterns and identify anomalies, such as unauthorized access or unusual activity in restricted areas. These automated alerts enable security teams to promptly investigate and intervene, preventing potential security breaches or incidents. By leveraging these Cutting Edge technologies, security environments become more proactive, responsive, and effective in maintaining a secure and safe environment for all.

Gun Detection

An AI-powered solution for real-time gun detection, enabling proactive responses when every second counts, rather than relying on reactive measures.

Apollo's Gun Detection System

Apollo harnesses your current security infrastructure, converting it into a proactive surveillance system capable of identifying potential physical security threats in real time and during forensic analysis.

Apollo’s AI-powered gun detection technology facilitates the automation of your response protocols and enhances your overall situational awareness.

With an impressive false-positive rate of just 0.1 per day per camera, Apollo’s gun detection module stands as one of the most accurate and sensitive AI technologies for weapon recognition.

In light of the alarming increase in mass shootings nationwide, the statistics are indeed concerning. In 2022, there were 647 incidents reported by the Gun Violence Archive, a significant rise from 417 in 2019. Shockingly, in just the first three months of 2023, America has already witnessed 136 mass shootings.

Considering this troubling trend, we have developed a robust gun detection technology to empower you to minimizeresponse times and take a more proactive approach in critical situations.

Gun Detection Technology

With an exceptional 0.1% false-positive rate per day per camera, Apollo’s gun detection module stands as one of the most precise and sensitive AI technologies employed globally for weapon recognition.

Upon detection, the system promptly notifies on-site security and law enforcement, providing them with video footage, weapon type identification, and location details. Even if the weapon is concealed, Apollo AI maintains continuous tracking of the individual across all connected cameras, ensuring real-time situational awareness.

Fire and Smoke Detection

Apollo's Smoke & Fire Detection is one of the most sensitive commercially available computer vision-based systems.

Industrial Fire Risks and Solutions:

Industrial fires pose significant threats, causing pollution, property damage, injuries, and fatalities. Addressing these concerns is crucial, and Apollo's Smoke & Fire Detection system offers a proactive solution with an impressive accuracy of up to 98.5%. This computer vision-based system excels in swiftly identifying hazardous conditions both indoors and outdoors, outperforming conventional sensors. Meticulously crafted, it leverages self-learning systems and sophisticated adjustments to ensure reliable detection, even in challenging conditions like sunlight, clouds, and nighttime lights.

Cutting-Edge Technology for Comprehensive Safety:

Apollo's Smoke & Fire Detection system stands out for its cutting-edge technology and versatility. Utilizing computer vision and AI, it combats a range of environmental dangers, providing situational awareness in areas not covered by traditional smoke detectors. The system's extensive adjustments enhance sensitivity, eliminating false positives from sources like sunlight and clouds. With the ability to detect smoke instances as small as 5% of the frame height, Apollo's system ensures efficient threat detection, even in outdoor areas like car parks. The system's efficiency surpasses traditional sensors, offering early-stage fire detection and reducing the need for time-intensive maintenance.

Clarifying Apollo's Capabilities:

Apollo's Smoke & Fire Detection system addresses common queries, emphasizing its superiority over traditional sensors. Notably, the system does not use thermal cameras and boasts a remarkable accuracy of 98.5%. It distinguishes between smoke and fog, operates both indoors and outdoors, and detects various hazardous environments efficiently. The system's adaptability extends to detecting cigarette smoke and even explosions. With Apollo, users can focus on what truly matters – ensuring the safety of lives, property, and valuable assets.

Behavior and Anomaly Detection

Apollo’s Anomaly Detection and Behavior Recognition empowers security experts to promptly identify and recognize high-impact, abnormal incidents as they occur.

Slip and Fall Detection

According to the US Department of Labor, the majority of general industry accidents are attributed to slips, trips, and falls. Apollo’s slip and fall detection module achieves an impressive accuracy rate of 99.1%, enabling you to effectively identify and prevent such incidents.

Real-time Monitoring:

Our self-learning systems provide continuous monitoring for areas susceptible to slip and fall accidents. These systems leverage advanced computer vision algorithms to detect and analyze a range of factors including floor conditions, spills, and obstacles.

Immediate Alerts:

When a hazard is detected, the system can promptly initiate alerts to pertinent personnel or authorities, facilitating a swift response to resolve the issue, and determining whether it entails cleaning up a spill or repairing a damaged floor.

Perimeter Intrusion Detection

Apollo enables you to define specific areas of interest and promptly notifies you of unauthorized-access instances. Furthermore, Apollo’s false alarm filtering feature helps substantially reduce both the noise and costs associated with false alarms.

Details

Apollo’s autonomous system can identify individuals or vehicles within a designated zone at a specified time.

Apollo offers seamless integration with your current security infrastructure, establishing direct connections with cameras for continuous 24/7 real-time monitoring.

Alternatively, it can receive frames, detected by embedded motion detection functions, filter those containing humans or vehicles, and send out relevant alerts upon detection.

Apollo also possesses the capability to track individuals within the camera’s field of view, conduct real-time counting of vehicles or people on your premises, and report incidents of loitering or running within designated areas of interest.

Anomaly Detection and Behavior Recognition

Apollo’s anomaly detection and behavior recognition empowers security experts to swiftly detect and identify high-impact anomalous events in real time as they unfold.

Fighting

Abnormal Behavior

Slip & Fall

What makes Apollo‘s behavior recognition & anomaly detection system stand out

Real-time identification of altercations, unusual student, and visitor's behavior.
A centralized solution adept at simultaneously managing multiple camera streams.
Flexible deployment options tailored to the customer’s preferences, including on-site, cloud-hosted, or hybrid configurations.

Details

Apollo is optimized to operate efficiently across multiple videostreams using a single GPU, enabling real-time event tracking.

Upon recognizing an anomalous event based on a sequence offrames provided to the model, Apollo promptly sends alerts to all designated endpoints.

The module supports both real-time processing of multiple videostreams and the offline analysis of video recordings.

Apollo’s models are trained on an extensive dataset of anomalousand normal videos, enabling it to function effectively in diverseenvironments and scenarios, promptly alerting to anomalies.

The system continually self learns, allowing for specificadjustments to tailor its performance to your unique environment ifthe current dataset doesn’t fully capture its intricacies.

Object Detection and Tracking

Apollo’s object detection and classification engine, powered by AI, enhances your security infrastructure, providing real-time situational awareness.

Abandoned Object Detection (AOD)

Abandoned object detection (AOD) has become a pressing concern, with transportation hubs, critical infrastructure sites, and law enforcement authorities increasingly harnessing their CCTV camera networks to identify unattended bags in public areas, both in real-time and during forensic analysis. Unattended objects can pose potential threats to public safety, necessitating swift responses from police and security experts.

Apollo’s exclusive object-detection algorithms have the capability to identify abandoned objects and promptly alert security personnel when unattended items are detected. This enables timely actions tobe taken, ultimately saving valuable time and enhancing safety measures.

Litter Detection

Littering in public spaces, along driveways, and in transportation hubs not only harms the environment but can also lead to property damage. Many of these discarded items are relatively small and difficult to detect using conventional systems. However, Apollo employs robust object-detection algorithms capable of identifying small, unattended objects even at a distance and in the presence of a dynamic background.

Personal Protective Equipment Monitoring

The use of personal protective equipment (PPE) is of utmost importance innumerous industries to ensure the safety of their teams. Unfortunately, there are instances where full equipment isn’t worn correctly, potentially resulting in overlooked safety rule violations, injuries, and even fatalities.

Apollo is equipped to identify various types of PPE, such as helmets and masks. In cases of non-compliance, Apollo can detect these violations and promptly send violation alerts to designated endpoints, helping maintain a saferwork environment.

What Makes Apollo‘s Object Detection & Tracking System Stand Out

Apollos systems operate autonomously around the clock and continuously enhance their performance.
They can be effortlessly integrated with a wide array of cameras and video management systems (VMS).
They excel in operating on cameras with dynamic backgrounds, including drones and body cameras.
They leverage an integrated zoom and tracking algorithm, enabling the detection of distant objects.
Moreover, they require hardware resources that are seven times more efficient than comparable solutions available in the market.

Deploying Apollo's Object Detection & Tracking System

These solutions can be deployed either on premises or in the cloud, offering flexibility in implementation.

The object-tracking module relies on a proprietary algorithm that is lightweight, highly accurate, and adaptable to various scenarios.

The solution is custom designed to achieve unparalleled accuracy in re-identifying specific types of objects.

Additionally, the algorithm seamlessly integrates with centralized solutions capable of analyzing hundreds of videostreams concurrently.

Drone Security

Apollo technology excels in operating drone cameras with moving backgrounds, providing vigilant monitoring of your valuable assets and operations.

Details

The integrated zoom-in and tracking algorithm seamlessly integrates with and leverages the majority of Apollo’s solutionsdesigned for conventional stationary cameras.

Apollo is highly efficient at working with moving backgrounds, enabling real-time video analytics even while in motion.

You can deploy Apollo either on the edge, utilizing the Nvidia Jetson family of devices, or on local mobile servers that receive real-time streaming from your drones.

When connected to two or more cameras on the drone, Apollo’s surveillance can effectively analyze expansive areas. Withcontinuous zoom-in capabilities, our video analytics serves as avaluable addition, further enhancing the performance and precision of your aerial surveillance operations.

What Makes Apollo Drone Security Stand Out

Apollo features an integrated “eagle eye” zooming algorithm, extending its operational range to cover larger distances.
It is optimized for high-resolution cameras, including 4K and above, ensuring exceptional image quality.
Apollo incorporates an algorithm for suspect re-identification and tracking, primarily relying on their appearance for precise tracking.
The system provides real-time video analytics, enabling instant analysis of events as they occur.
Moreover, Apollo excels in functioning with moving backgrounds,maintaining its effectiveness even in dynamic environments.

Facial Recognition

Enhance your video surveillance capabilities with Apollo’s face recognition technology, harnessing the formidable potential of computer-vision and artificial intelligence to bolster the safety of your premises and protect your people.

Apollo’s Face Recognition Watchlist

Apollo’s face recognition watchlist employs cutting-edge deep learning techniques, ensuring heightened accuracy and rapid identification.

Each individual entering the camera’s view is tracked and identified multiple times, and the results are statistically validated to yield the most reliable output.

The face recognition watchlist module operates effectively in diverse environments, accommodating varying distances and facial angles. It can achieve accurate real-time identification with as little as one good image of a person.

This technology helps minimize biases as the facial recognition system was developed using a dataset that encompasses all ethnicities and genders.

Integration with Access Control Systems is seamless, enabling entry based on biometric data or generating alerts when a person from the watchlist is detected. This enhances security measures and access control for your premises.

Applications

Apollo’s face recognition technology offers a wide range of applications and is the preferred solution for school districts seeking to implement effective and secure identification systems.

Access Control System

Attendance Control

Watchlist Monitoring

Missing Children Detection

What Makes Apollo’s Face Recognition Watchlist Technology Stand Out

Apollo’s face recognition technology excels in terms of speed, accuracy, and ease of deployment, available through both web and desktop applications.
It seamlessly integrates with other modules offered by Apollo, providing a unified security solution.
Apollo remains at the forefront of deep learning research, consistently applying the best modern practices to ensure the face recognition system maintains its accuracy and speed advancements.
To gauge and compare the accuracy of our algorithms, we conducted several common benchmarking tests.
Apollo’s face recognition watchlist module is compatible with edge devices from the Nvidia Jetson family, including Nano and Xavier, making it suitable for role-based access control and various other similar use cases, ensuring efficient and secure access management.

Industrial Temperature Monitoring

Apollo AI and MOBOTIX:
Enhancing Safety Through Technology:

Apollo AI collaborates seamlessly with MOBOTIX thermographic cameras, providing continuous, real-time thermal scanning for diverse applications. This dynamic duo enables users to monitor lithium-ion battery overheating, transformers, electrical substations, skin surface temperatures, and more. The bi-spectrum cameras deliver thermal radiometric raw data to Apollo's AI-powered Thermal Scanning module, offering precise and efficient detection of thermal anomalies.

Powerful Collaboration for Industrial Safety:

The synergy between MOBOTIX and Apollo extends to critical areas such as transformers and electrical substations, where early detection of overheating prevents catastrophic failures. Additionally, the system safeguards against lithium battery fires, industrial dumpster fires, and ensures safe storage of goods. With real-time thermal scanning, these solutions contribute to reducing the risks and losses associated with fires in industrial settings, warehouses, and beyond.

Advanced Technology for Comprehensive Solutions:

MOBOTIX and Apollo's collaboration provides high-quality, accurate, and reliable products for 24/7 real-time thermal scanning. This technology extends beyond industrial applications to skin surface temperature monitoring, aiding in rapid screening for health and safety. By leveraging advanced accuracy-boosting algorithms, Apollo ensures precise measurements, intelligent analysis, and effective notification systems. The collaboration's flexibility allows for seamless integration with other security solutions, providing a comprehensive approach to safety and security.

Traffic Flow Analysis

Make data-driven decisions, optimize your operations and find persons of interest based on their appearance.

Unlocking Operational Efficiency with Apollo’s Traffic Flow Analysis:

Apollo's Traffic Flow Analysis empowers businesses to make data-driven decisions, streamline operations, and enhance profitability by optimizing traffic patterns. This powerful module supports real-time people counting, heatmaps, pathway analysis, line crossing, dwell time analysis, and statistical analytics. It offers a user-friendly interface and advanced AI-powered traffic flow analysis, allowing for customizable statistical reporting and analytics.

Real-Time People Counting

Heatmaps

Pathway Analysis

Line Crossing

Dwell Time Analysis

Statistical Analytics

How Apollo’s Traffic Flow Analysis Works:

This module collects data on people's movement across connected cameras using a proprietary appearance-based algorithm that prioritizes customer privacy. Users can configure the system to measure and track specific zones at designated times, providing tailored information for business needs. The statistical analytics feature enables querying and filtering the distribution of people at specific locations during desired time/date ranges for actionable insights.

Standout Features and FAQs:

Apollo's Traffic Flow Analysis stands out with its customizable statistical reporting, user-friendly interface, advanced AI capabilities, and an adjustable alerting system for immediate response and data-driven decision-making. Frequently asked questions address the system's functionality, camera positioning requirements, unique visitor counting, data privacy considerations, and the ability to create customized reports based on gathered information. The module's flexibility allows businesses to adapt and optimize traffic flow efficiently, ensuring a seamless and productive environment.