Quick Overview
- 1#1: ZeroEyes - AI-powered gun detection software that identifies firearms in real-time video feeds and instantly alerts security teams.
- 2#2: Omnilert - Real-time AI gun detection system for security cameras that distinguishes drawn guns and triggers rapid response alerts.
- 3#3: Athena Security - AI weapons detection platform that identifies guns and other threats on people in live video surveillance.
- 4#4: Coram AI - Integrated AI solution for visual gun detection and gunshot recognition in security environments.
- 5#5: Rhombus - Cloud-managed security platform featuring AI-powered gun detection within video management systems.
- 6#6: BriefCam - Advanced video analytics software that detects and classifies weapons in surveillance footage for threat assessment.
- 7#7: Ultralytics YOLO - State-of-the-art real-time object detection framework ideal for training custom gun detection models.
- 8#8: OpenCV - Open-source computer vision library essential for developing efficient gun detection applications.
- 9#9: Roboflow - Computer vision platform providing gun detection datasets, annotation tools, and model deployment.
- 10#10: TensorFlow Object Detection API - Deep learning framework for building and deploying high-accuracy custom gun detection models at scale.
Tools were ranked based on performance accuracy, feature versatility, ease of deployment, and overall value, ensuring a balanced selection that spans enterprise-level systems and custom development tools.
Comparison Table
In an era where proactive security is paramount, choosing the right gun detection software is key to protecting people and spaces. This comparison table breaks down tools like ZeroEyes, Omnilert, Athena Security, Coram AI, Rhombus, and more, detailing their features, usability, and real-world performance. Readers will gain insights to match software to their specific needs, whether for high-traffic environments or specialized security setups.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | ZeroEyes AI-powered gun detection software that identifies firearms in real-time video feeds and instantly alerts security teams. | specialized | 9.6/10 | 9.8/10 | 9.3/10 | 9.2/10 |
| 2 | Omnilert Real-time AI gun detection system for security cameras that distinguishes drawn guns and triggers rapid response alerts. | specialized | 9.1/10 | 9.4/10 | 8.7/10 | 8.5/10 |
| 3 | Athena Security AI weapons detection platform that identifies guns and other threats on people in live video surveillance. | specialized | 8.7/10 | 9.2/10 | 8.5/10 | 8.0/10 |
| 4 | Coram AI Integrated AI solution for visual gun detection and gunshot recognition in security environments. | specialized | 8.7/10 | 9.2/10 | 8.5/10 | 8.0/10 |
| 5 | Rhombus Cloud-managed security platform featuring AI-powered gun detection within video management systems. | specialized | 8.4/10 | 8.7/10 | 9.0/10 | 7.9/10 |
| 6 | BriefCam Advanced video analytics software that detects and classifies weapons in surveillance footage for threat assessment. | specialized | 7.8/10 | 9.0/10 | 6.8/10 | 6.5/10 |
| 7 | Ultralytics YOLO State-of-the-art real-time object detection framework ideal for training custom gun detection models. | general_ai | 8.7/10 | 9.3/10 | 8.4/10 | 9.8/10 |
| 8 | OpenCV Open-source computer vision library essential for developing efficient gun detection applications. | other | 7.2/10 | 8.4/10 | 5.1/10 | 9.6/10 |
| 9 | Roboflow Computer vision platform providing gun detection datasets, annotation tools, and model deployment. | general_ai | 8.1/10 | 9.2/10 | 8.0/10 | 7.5/10 |
| 10 | TensorFlow Object Detection API Deep learning framework for building and deploying high-accuracy custom gun detection models at scale. | general_ai | 8.1/10 | 9.3/10 | 6.7/10 | 9.7/10 |
AI-powered gun detection software that identifies firearms in real-time video feeds and instantly alerts security teams.
Real-time AI gun detection system for security cameras that distinguishes drawn guns and triggers rapid response alerts.
AI weapons detection platform that identifies guns and other threats on people in live video surveillance.
Integrated AI solution for visual gun detection and gunshot recognition in security environments.
Cloud-managed security platform featuring AI-powered gun detection within video management systems.
Advanced video analytics software that detects and classifies weapons in surveillance footage for threat assessment.
State-of-the-art real-time object detection framework ideal for training custom gun detection models.
Open-source computer vision library essential for developing efficient gun detection applications.
Computer vision platform providing gun detection datasets, annotation tools, and model deployment.
Deep learning framework for building and deploying high-accuracy custom gun detection models at scale.
ZeroEyes
specializedAI-powered gun detection software that identifies firearms in real-time video feeds and instantly alerts security teams.
Sub-3-second AI gun detection with mandatory human review by a 24/7 Security Operations Center for near-zero false alarms
ZeroEyes is an AI-powered gun detection platform that integrates with existing security cameras to provide real-time firearm detection using advanced computer vision technology. It analyzes video feeds 24/7, identifying guns in under three seconds and sending verified alerts to security teams via mobile apps, dispatch systems, or integrations like Motorola Solutions. Designed for proactive threat prevention, it boasts high accuracy with low false positives, making it ideal for high-risk environments such as schools, hospitals, and public venues.
Pros
- Ultra-fast detection in under 3 seconds with human-verified alerts to reduce false positives
- Seamless integration with existing cameras and major security ecosystems
- Proven deployment in over 1,000 schools and public sites with high accuracy across diverse scenarios
Cons
- Premium pricing may be prohibitive for small organizations
- Performance dependent on camera quality and coverage
- Requires initial setup and ongoing subscription for full SOC monitoring
Best For
Schools, hospitals, and public venues prioritizing proactive, real-time gun threat detection without major infrastructure changes.
Pricing
Custom enterprise pricing starting at $5,000–$20,000+ per year per site based on camera count and features; includes cloud processing and optional 24/7 monitoring.
Omnilert
specializedReal-time AI gun detection system for security cameras that distinguishes drawn guns and triggers rapid response alerts.
AI-driven detection that distinguishes real guns from toys and holsters with 99% claimed accuracy
Omnilert is an AI-powered threat detection platform that uses computer vision to identify guns, knives, and active threats in real-time from existing IP cameras and video feeds. It delivers instant alerts to security personnel via mobile apps, email, or integrations with systems like Alertus for mass notifications. Designed for high-security environments like schools, workplaces, and public venues, it minimizes response times to potential gun violence incidents.
Pros
- Exceptional accuracy in detecting real firearms with low false positives
- Seamless integration with any IP camera system without hardware changes
- Customizable alert rules and multi-channel notifications for rapid response
Cons
- Performance dependent on camera quality and field of view
- Pricing is enterprise-focused and not ideal for small-scale deployments
- Limited to visual detection, missing audio or behavioral cues
Best For
Large organizations like schools, hospitals, and corporate campuses needing proactive, real-time gun threat detection integrated into existing surveillance.
Pricing
Custom enterprise pricing based on camera count and features; typically subscription model starting at several thousand dollars annually.
Athena Security
specializedAI weapons detection platform that identifies guns and other threats on people in live video surveillance.
Proprietary AI with DHS-tested low false positive rates and a 'deny list' for excluding safe replicas
Athena Security's Gun Detection software leverages advanced AI and computer vision to analyze live feeds from existing IP cameras, detecting firearms in real-time with high accuracy. Upon detection, it sends instant alerts via SMS, email, or integrated panic buttons to security teams, enabling rapid response. The solution emphasizes low false positives through proprietary algorithms and supports features like person detection and custom deny lists for known safe objects.
Pros
- High detection accuracy with low false positives
- Seamless integration with existing cameras, no new hardware needed
- Rapid alert system (under 3 seconds) with multiple notification options
Cons
- Pricing can be steep for small-scale deployments
- Performance reliant on camera quality and lighting
- Limited advanced analytics compared to some competitors
Best For
Mid-to-large organizations like schools, hospitals, and retail spaces with existing CCTV systems seeking reliable, non-intrusive gun threat detection.
Pricing
Subscription-based starting at ~$10-20 per camera/month, with enterprise custom quotes and volume discounts.
Coram AI
specializedIntegrated AI solution for visual gun detection and gunshot recognition in security environments.
Sub-second latency weapon detection across unlimited camera feeds with edge AI processing for reliability.
Coram AI is an AI-driven video analytics platform that provides real-time detection of guns, knives, and other threats in live surveillance footage from existing CCTV cameras. It analyzes video streams to identify weapons with high accuracy, sending instant alerts to security teams via mobile apps or integrations. The software emphasizes low false positives through advanced machine learning models trained on diverse real-world scenarios, making it suitable for proactive threat mitigation in high-security environments.
Pros
- Highly accurate real-time gun detection with low false positives
- Seamless integration with existing IP cameras and VMS systems
- Customizable alert rules and multi-zone monitoring
Cons
- Performance dependent on camera quality and lighting conditions
- Enterprise-level pricing lacks transparency without a quote
- Limited standalone options for small-scale deployments
Best For
Medium to large enterprises with extensive CCTV networks needing reliable, scalable gun detection for schools, retail, or public venues.
Pricing
Custom quote-based pricing starting around $100-300 per camera/month, depending on scale and features.
Rhombus
specializedCloud-managed security platform featuring AI-powered gun detection within video management systems.
Unified cloud platform integrating gun detection with video, access control, and environmental sensors for holistic security.
Rhombus is a cloud-based physical security platform offering AI-powered video surveillance with integrated gun detection capabilities through its Smart Search analytics. It uses computer vision to detect firearms in real-time or from recordings, triggering customizable alerts for security teams. The system integrates seamlessly with access control, sensors, and other security tools for a unified threat response, making it suitable for enterprise environments.
Pros
- High-accuracy AI gun detection with low false positives
- Cloud-native scalability and remote management
- Strong integration with access control and sensors
Cons
- Prefers Rhombus hardware for optimal AI performance
- Enterprise pricing can be steep for smaller deployments
- Gun detection is part of broader suite, less specialized than dedicated tools
Best For
Medium to large enterprises needing an integrated physical security platform with reliable AI gun detection.
Pricing
Subscription-based; custom quotes typically $15-30 per camera/month including AI features, with hardware costs extra.
BriefCam
specializedAdvanced video analytics software that detects and classifies weapons in surveillance footage for threat assessment.
Video Synopsis technology that summarizes hours of video into seconds while preserving all critical events like gun detections
BriefCam is an AI-powered video analytics platform designed for rapid review, search, and analysis of surveillance footage from multiple cameras. It employs advanced computer vision to detect and classify objects, including firearms, enabling quick identification of gun-related threats amid vast video data. The software supports both live and archived video, providing tools for behavior analysis and incident investigation in security operations.
Pros
- Video Synopsis compresses hours of footage into minutes while retaining gun detections
- Robust AI object classification including firearms and suspicious behaviors
- Scalable integration with thousands of cameras for enterprise use
Cons
- Enterprise-level pricing makes it less accessible for smaller operations
- Steep learning curve for full feature utilization
- Not specialized exclusively for gun detection, requiring configuration for optimal performance
Best For
Large enterprises and law enforcement agencies with extensive surveillance networks needing comprehensive video analytics including gun threat detection.
Pricing
Custom enterprise pricing upon request; typically annual subscriptions starting at $10,000+ based on camera count, features, and deployment scale.
Ultralytics YOLO
general_aiState-of-the-art real-time object detection framework ideal for training custom gun detection models.
Ultralytics HUB enables no-code custom model training on gun datasets with automatic optimization.
Ultralytics YOLO is an open-source computer vision library powering state-of-the-art YOLO models for real-time object detection and segmentation. It supports easy training on custom datasets, making it highly adaptable for gun detection in security cameras, surveillance systems, or mobile apps. With versions like YOLOv8 and YOLOv11, it delivers top-tier accuracy and speed on various hardware.
Pros
- Exceptional real-time detection speed and accuracy after custom training on gun datasets
- Straightforward Python API and CLI for training, inference, and deployment
- Free open-source core with exports to edge formats like TensorRT and ONNX
Cons
- No pre-trained gun detection model; requires custom dataset labeling and training
- GPU hardware recommended for efficient training and high-resolution inference
- Potential for false positives in cluttered environments without extensive fine-tuning
Best For
Developers and teams building scalable, custom gun detection systems for surveillance or public safety applications.
Pricing
Core library is free (MIT license); Ultralytics HUB offers paid tiers starting at $10/month for no-code training and cloud resources.
OpenCV
otherOpen-source computer vision library essential for developing efficient gun detection applications.
DNN module for seamless integration and inference of deep learning models like YOLO tailored for gun detection
OpenCV is an open-source computer vision and machine learning library that enables developers to build custom gun detection systems using object detection algorithms like YOLO, SSD, or Haar cascades. It provides essential tools for image preprocessing, feature extraction, real-time video analysis, and integration with deep neural networks. While highly versatile, it requires significant custom development and training for reliable gun detection rather than offering a plug-and-play solution.
Pros
- Highly customizable for tailored gun detection models
- Supports real-time processing on various hardware
- Extensive documentation and large community support
Cons
- No pre-built gun detection models; requires custom training
- Steep learning curve for non-experts
- Performance varies based on implementation quality
Best For
Experienced developers and computer vision teams building bespoke security surveillance systems.
Pricing
Free and open-source under Apache 2.0 license.
Roboflow
general_aiComputer vision platform providing gun detection datasets, annotation tools, and model deployment.
Roboflow Universe: A massive repository of curated public datasets and pre-trained models, including gun and weapon detection ones, for rapid prototyping.
Roboflow is a versatile computer vision platform designed for building, managing, and deploying custom object detection models, including those for gun detection in images and videos. It offers tools for dataset curation, annotation, augmentation, preprocessing, and training with algorithms like YOLOv8, enabling users to create accurate gun detectors from scratch or fine-tune existing ones. While highly capable for custom CV projects, it requires users to source or create gun-specific datasets rather than providing ready-made gun detection solutions. Its deployment options support edge devices and cloud services for real-time security applications.
Pros
- Powerful dataset management, annotation, and augmentation tools optimized for object detection
- Seamless integration with YOLO models and one-click training/deployment pipelines
- Access to Roboflow Universe with public gun/weapon detection datasets and models
Cons
- Not a specialized out-of-the-box gun detection tool; requires custom training and datasets
- Steep learning curve for non-experts in computer vision
- Paid tiers can become expensive for high-volume training or private projects
Best For
Computer vision developers and security teams building scalable, custom gun detection models for surveillance systems.
Pricing
Free Public plan for open projects; Starter at $59/user/month; Pro at $249/month for advanced features and private workspaces.
TensorFlow Object Detection API
general_aiDeep learning framework for building and deploying high-accuracy custom gun detection models at scale.
Extensive model zoo enabling easy transfer learning from COCO-pretrained detectors to gun-specific classes
The TensorFlow Object Detection API is an open-source framework from Google that provides tools to build, train, and deploy custom object detection models using TensorFlow. For gun detection, it excels in training models on custom datasets of firearms, supporting architectures like SSD, Faster R-CNN, and EfficientDet for real-time or high-accuracy detection. It includes utilities for data preparation, evaluation, and export to formats like TensorFlow Lite for edge deployment, making it adaptable for security applications.
Pros
- Highly flexible with multiple state-of-the-art detection architectures
- Supports transfer learning from pre-trained models for faster gun detection training
- Robust ecosystem with TensorFlow integration for scalable deployment
Cons
- Steep learning curve requiring ML expertise and coding skills
- No pre-trained gun detection models; demands custom dataset preparation
- Complex setup and training process can be time-intensive
Best For
Experienced ML developers or researchers building bespoke gun detection systems for surveillance or security.
Pricing
Completely free and open-source.
Conclusion
ZeroEyes leads as the top gun detection software, excelling with real-time AI that quickly alerts security teams to firearms in video feeds. Omnilert and Athena Security follow strongly, offering tailored solutions for diverse needs, whether rapid response or multi-threat monitoring. These tools collectively elevate security by prioritizing proactive threat detection.
Take the first step toward enhanced safety—test ZeroEyes to experience its industry-leading real-time protection firsthand.
Tools Reviewed
All tools were independently evaluated for this comparison