Object Detection Software
Protect spaces and increase awareness.
Real-time object recognition software with vehicle, license plate, gun, and threat detection for a smarter, safer world.
We enable machines to perceive the world around them, just like humans do. ROC Vision AI is forged from deep-learning neural networks that mirror the human visual system.
CAPABILITIES
Fully multimodal video intelligence.
Elevate your capabilities with proactive AI monitoring for objects, threats, and
anomalies across thousands of sources – where failure is not an option.
Deployed by
DOD | DOS | US NAVY | US MARSHALS | FBI
APPLICATIONS
Enhanced situational
awareness for security
teams and first responders.
Security & Surveillance
Monitor public areas to identify suspicious objects or behavior and deter criminal activities. Arm security teams and first responders with play-by-play situational intelligence and video forensics to respond swiftly and efficiently to potential threats.
Policing & Borders
Harness advanced Vision AI to monitor borders, detect illegal crossings, and identify suspects in real-time across thousands of video feeds. Combat human trafficking, drug smuggling, and other crimes with precision, enhancing the overall effectiveness of law enforcement and border operations.
Intrusion Detection
Identify unauthorized intruders in secure zones such as airports, office buildings, and data centers, protecting the integrity of critical areas. Promptly alert security personnel to potential breaches, allowing for immediate action to safeguard sensitive environments.
Crowd Control
Monitor crowds to detect suspicious behavior, keep unauthorized areas secure, and prevent incidents such as stampedes or riots. Maintain a watchful eye to ensure safety and order during large gatherings and events.
Traffic Management
Monitor traffic flow at speed and scale across thousands of video sources. Detect incidents in real-time to prevent traffic-related injuries and fatalities. Improve road safety by providing timely alerts and interventions to manage and alleviate congestion.
Threat Detection
Ensure rapid response by automatically alerting authorities to gun detections and wanted individuals. Screen visitors against custom watchlists and criminal databases, plus initiate active-shooter protocols for brandished firearms, including long guns and handguns.
WEAPONS DETECTION
Flag intruders and guns instantly.
Early detection of a firearm can save lives. ROC delivers real-time visibility into weapons, watchlisted individuals, and more.
Early threat detection
Rapid response
Enhanced situational awareness
No coffee breaks. Ever.
B. Scott Swann
The Role of AI in Mitigating Active Shooter Incidents
Proactively Preventing Gun Violence: Enhancing Situational Awareness Through Live Video Analytics and Threat Detection
Read Blog
Read Blog
B. Scott Swann
PRODUCTS
Next-Gen ALPR +
Vehicle Recognition
Identify and track vehicles worldwide with global ALPR coverage, comprehensive vehicle profiles, and more.
PRODUCTS
Next-Gen ALPR +
Vehicle Recognition
Identify and track vehicles worldwide with global ALPR coverage, comprehensive vehicle profiles, and more.
AI Video Intelligence +
Threat Detection
Protect spaces and increase awareness with fully multimodal video intelligence, from badgeless visitor management to real-time weapon and threat detection.
Reimagine What’s Possible
Tap into the power of the all-in-one ROC SDK. Integrate game changing biometric and Vision AI capabilities with just a few lines of code.
READY TO ROC
safer, and stronger.
Compatible with any OS, platform, and architecture.
01
Easy to integrate
02
Lightweight & fast
03
Open & interoperable
04
Powered by responsible AI
What is object detection?
Object detection is a powerful technology that uses artificial intelligence and machine learning to train computers to recognize and interpret their surroundings – just like a human would.
It fuses advanced classification and localization techniques to enable machines to identify and pinpoint objects within images or videos. This capability has far-reaching applications where precise visual comprehension is essential, from robotics and automation to smart cities and self-driving cars.
Object detection also plays a critical role in post-event investigations by analyzing visual data to identify key details, track events, and provide valuable insights for law enforcement, security, and forensics.
Schedule a free trial or demo.
FREQUENTLY ASKED QUESTIONS
What is AI object detection software and how does it work?
AI object detection software combines computer vision and deep-learning neural networks to identify and localize objects within images or video in real time - replicating how the human visual system perceives its environment.
ROC trains detection models on large, diverse datasets covering real-world scenarios. Results include:
- Object class - vehicle type, person, firearm, etc.
- Bounding box location within the frame
- Confidence score for each detection
Processing scales from a single edge device monitoring one camera to a cloud deployment analyzing thousands of feeds simultaneously.
More: roc.ai/watch
What threats and objects can ROC Vision AI detect in real time?
ROC Vision AI detects a wide range of objects across live and archived video:
- Vehicles: cars, trucks, buses, motorcycles, boats, airplanes, and military vehicles, with make, model, color, and year profiling
- People, with demographic attributes such as age and gender
- License plates, with ALPR coverage for 69 countries and full vehicle profiling
- Suspicious items and objects of interest, using query-by-example search
For visible firearm threats, ROC offers dedicated AI gun detection built for real-time threat response.
Detection runs in real time across thousands of simultaneous video feeds, from a single edge device to full cloud deployments.
Can ROC search live video or video archives for specific people or objects?
Yes. ROC supports two search modes for both live feeds and archived footage:
- Text-descriptor search - describe what you're looking for (vehicle type, color, clothing, object class) and ROC searches across all camera feeds
- Query-by-example - submit a reference photo or frame to find matching appearances
Set real-time alerts on any descriptor for proactive live monitoring. For post-event investigation, AI video forensics compresses hours of manual footage review into minutes - locate a suspect or vehicle across an entire camera network with timeline reconstruction.
More: roc.ai/watch
Does ROC object detection work with existing security cameras?
Yes. ROC is camera-agnostic - it works with any IP camera, including legacy analog CCTV infrastructure converted via encoders. No need to replace cameras, run new cabling, or purchase new hardware.
Deployment options:
- ROC Watch Platform - turnkey interface for security operators, no coding required
- ROC SDK - programmatic integration for developers and system integrators
- Both can be combined in the same deployment
ROC Watch scales to thousands of simultaneous camera streams from a single control interface.
More: roc.ai/watch — roc.ai/sdk
How does ROC object detection integrate with existing systems?
ROC provides a unified, cross-platform SDK with a standardized API interface that eliminates the need for modality-specific re-architecting. Feature parity is maintained across 7 languages - C++, Java, Python, C#, Go, Node.js, and Rust - with native support for Windows, macOS, Linux, iOS, and Android.
Integration Options:
- REST API - Engineered for modern web services and microservice-heavy architectures.
- Native SDK - Optimized for C++-level performance in high-throughput embedded and edge applications.
- CLI - Ready-made for automated batch workflows and shell-based processing.
- Web API - Delivers robust server-side deployment with granular hardware acceleration control.
ROC is built on open standards to ensure full interoperability and eliminate vendor lock-in. Most enterprise-grade integrations move from evaluation to production within days. Start building immediately with a free 30-day evaluation license, which includes complete documentation and direct access to our senior engineering team.
More: roc.ai/sdk
What is the difference between ROC Watch platform and ROC SDK for object detection?
ROC delivers object detection through two complementary deployment paths:
ROC Watch Platform:
- Turnkey security operations interface - visitor management, live alerting, incident review, reporting
- Designed for security operators and facility managers
- No coding required; deploys against any existing IP camera system
ROC SDK:
- Programmatic access to all detection algorithms
- Designed for developers and system integrators
- Embed capabilities into custom applications, VMS platforms, or command-and-control systems
Both use the same NIST-ranked algorithms. Many enterprise deployments combine both: SDK for system integration, Watch Platform for operator command and control.
More: roc.ai/watch — roc.ai/sdk
Which industries and facility types use ROC object detection?
- Law enforcement - RTCC monitoring, patrol video intelligence, post-event forensics
- K-12 schools and universities - visitor screening and campus monitoring
- Stadiums and large events - crowd monitoring and access control
- Military installations - perimeter protection and asset security
- Corporate campuses - secure zone monitoring and visitor management
- Transportation hubs - airport and transit security, traffic management
- Retail - loss prevention and operational analytics
- Smart cities - public safety monitoring and traffic operations
Can ROC identify vehicle make, model, color, and year?
Yes. ROC Vehicle Recognition extracts detailed vehicle profiles from live or recorded video, including make, model, color, and year. Combined with ALPR support for 69 countries, this enables full vehicle identification and tracking across camera networks - even when a plate is obscured, missing, or unreadable.
Vehicle profiles can be paired with real-time alerts, watchlists, and post-event forensic search across an entire deployment.
Does ROC object detection run on edge devices or in the cloud?
Both. ROC supports on-prem, cloud, hybrid, and edge deployments from the same unified SDK. The algorithms are lightweight and optimized for real-time video processing on mobile and server infrastructure alike, including air-gapped and fully disconnected environments.
This means the same detection models can run on a single edge device monitoring one camera or scale to a cloud deployment analyzing thousands of feeds simultaneously.
More: roc.ai/sdk