What is AI Video Analytics?
AI video analytics leverages advanced machine learning algorithms to turn raw video surveillance footage into actionable intelligence. By enabling intelligent search, real-time monitoring, and automated incident detection, AI video analytics significantly reduces the manual workload associated with traditional video surveillance systems.
Designed to be ultra simple to use, secure, and scalable, Verkada is a leader in cloud AI security cameras. From advanced person analytics, license plate recognition, and cloud remote management, to AI-powered analytics, Verkada offers over 48 security cameras to choose from. All Verkada products seamlessly integrate with one another for a completely unified security system.
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Benefits of AI Search and Analytics
Traditional video surveillance presents significant challenges, primarily due to the extensive time and resources required to manually review historical footage. Implementing AI-powered video analytics allows organizations to quickly locate relevant footage, receive real-time alerts on potential security threats, and improve overall operational efficiency.
How AI Enhances Security Operations
AI search technology processes video surveillance in real-time, automatically tagging events with descriptive metadata. With AI-enabled security cameras, security teams can quickly search and retrieve footage based on specific criteria such as appearance, clothing, or objects. For example: “person wearing a black coat carrying a red bag”
This metadata can also be used to send proactive alerts to security teams about potential threats. It can also enable security and operational teams to monitor various types of business data using a product like Verkada Helix.
Best AI Video Features
- Intelligent, contextual search
- Perimeter security and detection
- Real-time threat detection and alerting with reduced false positives
- Object detection and tracking
- Behavioral analysis
- Facial recognition
- Person of Interest
- Automatic license plate recognition with vehicle detection
- People counting, foot traffic analytics, and heat mapping
Top Use Cases for AI Video Analytics
- Business Security and Surveillance: Automate threat detection, streamline security operations, and rapidly respond to incidents.
- Retail Analytics and Business Insights: Optimize store layouts, improve loss prevention, and analyze customer behavior patterns.
- Warehouse and Manufacturing Security: Enhance workplace safety, monitor equipment, optimize processes, and track inventory effectively.
- Healthcare Security and Safety: Secure sensitive areas, monitor patient environments, and improve safety measures.
- Public Safety and Transportation: Increase traffic efficiency, enhance public security, and rapidly address incidents.
How to Incorporate Modern Video Analytics
On-Premise Security Solutions:
On-premise video management systems require a dedicated server on the same network as the security cameras to provide AI search and analytics. Camera footage is streamed to this server which analyzes each frame of video footage for relevant objects and events. This approach provides the flexibility to utilize security cameras which lack onboard AI analytics, but it requires a large up-front investment in dedicated servers to provide this capability. If more cameras are added in the future, the servers may have to be upgraded to provide additional resources as well.
Direct-to-Cloud Video Management Systems
Direct-to-cloud video management systems rely on compute and storage resources hosted in the cloud instead of on-premise servers. In these systems, all camera footage is uploaded to cloud storage where it can be analyzed. These systems have the advantage of scaling more easily than on-premise systems since additional cameras can be added without the need to upgrade on-premise servers. The biggest downside to direct-to-cloud systems is the large amounts of bandwidth required to continuously upload all security camera footage to the cloud in real-time.
Hybrid Cloud Security Systems:
Hybrid cloud security cameras are the most modern, robust approach. Built from the ground up for hybrid environments, they avoid the disadvantages of both an on-prem and direct-to-cloud system. By leveraging edge processing capabilities, a hybrid system uses on-device AI models to perform simple object recognition and uploads only the relevant portions of camera footage to the cloud for deeper analysis. This approach removes the need for dedicated on-prem hardware and also keeps ambient bandwidth usage low. This provides optimal balance—minimizing hardware and bandwidth needs, while strengthening security and performance.
Why Verkada’s AI Security Platform?
Verkada’s hybrid cloud platform perfectly balances advanced AI capabilities, ease of management, and scalability. By combining intelligent edge processing with powerful cloud analytics, Verkada delivers sophisticated AI search, actionable insights, and real-time alerts without the complexity and costs associated with traditional security systems.
Ditch Your NVRs, DVRs, Servers, and Costly Maintenance
Verkada offers a seamlessly unified physical security solution with 7 products within a single cloud platform for easy remote access, an ultra user-friendly interface, advanced AI analytics, and scalable infrastructure, whether you need 10 or 10,000 deployments.
Experience a Truly Cloud-Native, Fully Integrated Security System with Verkada:
- AI-Powered Security Cameras: Facial recognition, heat mapping, person analytics, and license plate recognition without the need for NVRs, DVRs, or complex hardware.
- Access Control: Seamless building entry and door readers via RFID, bluetooth, and mobile devices
- Alarm Systems: Intrusion detection, motion sensors, perimeter security, and custom alerts
- Video Intercoms: Crystal clear video with 2-way calling
- Visitor Management Systems: Easy guest check-in and visitor security with built-in background checks
- Environmental Monitoring: Detect and monitor for smoke, vapor, CO2, humidity, temperature, and sudden, loud noises
- Mailroom Management Software: Track, notify recipients, manage, and secure package deliveries at scale.
By adopting Verkada’s cutting-edge AI video analytics platform, organizations enhance their security posture, operational efficiency, and strategic decision-making capabilities.
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