Ensuring the safety of students and staff in schools has become increasingly challenging. Despite the presence of surveillance cameras, the sheer volume of footage makes it impractical for staff to manually review all video to identify incidents or suspicious activities. Immediate threats like on-campus conflicts, vandalism, and unauthorized access require quick, effective responses.
Solution Overview
AI-powered video analytics offer a transformative solution for school safety by enabling continuous, intelligent monitoring and proactive alerting. By leveraging AI inference and machine learning, schools can enhance their ability to detect and respond to potential security threats, ensuring a safer environment for students and staff.
Here are some examples of using AI-powered video analytics for school safety:
- Proactive Incident Detection
AI video analytics can monitor live feeds and automatically detect incidents such as fights, vandalism, and suspicious behavior. Real-time alerts enable security personnel to intervene immediately, reducing the risk of escalation.
- Object and Event Recognition
The system can identify specific objects (e.g., weapons), incidents (fire, smoke) and activities (e.g., unauthorized access, after-hours trespassing) within the camera’s field of view. This capability accelerates the identification of potential threats, allowing for rapid response.
- Crowd Analysis
AI algorithms analyze crowd movement and behavior, detecting anomalies such as unusually large gatherings or suspicious loitering. This helps in managing large groups of students during peak times and identifying potential threats.
Solution
Lanner collaborates with IronYun to integrate their Edge AI appliances with IronYun’s Vaidio AI Vision, creating a comprehensive AI-enabled video analytics solution for schools. This integration works seamlessly with existing surveillance systems to enhance their effectiveness in identifying risks and notifying security personnel.
Lanner’s Edge AI Appliances EAI-I133 and LEC-2290E
Lanner provides Edge AI appliances, the EAI-I133 and LEC-2290E, to enable low-latency, AI-powered video analytics at the edge. A compact edge AI platform engineered for AI inferencing with up to 100 TOP AI performance. Features a fanless design with a broad range of connectivity options including 2x 2.5 GbE LAN ports, 1x GbE LAN port, 2x COM ports, and 4x USB 3.2 ports.
An NVIDIA-Certified rugged edge AI appliance configured with an NVIDIA® A2 Tensor Core GPU. Provides an AI-optimized platform featuring 2x GbE RJ45, 4x PoE, 4x USB 3.0, 6x COM, and 8x DIO ports. Ideal for enabling real-time AI inference for video analytics with existing surveillance systems.
IronYun Vaidio AI Vision Platform
IronYun’s Vaidio is designed to provide a comprehensive suite of advanced video analytics applications for safety, security, and operations in an easy and cost-effective manner through subscription-based software-as-a-service. Every aspect of the Vaidio release, from Kubernetes integration and analytics virtualization to the Vaidio Service Portal, is crafted to maximize user-friendliness and simplify service delivery. This minimizes resource and operating costs while enabling a scalable, on-demand, and auto-provisioning framework for enterprises, integrators, and service providers.
Conclusion
AI-powered video analytics offer a robust solution to enhance school safety by providing real-time, intelligent monitoring and rapid incident response capabilities. By automating the detection of potential threats and streamlining incident investigations, schools can create a safer environment for students and staff, ensuring peace of mind for parents and the community.