Make a Smart Move to AI-Enabled Security and Growth with SINTRONES ABOX-5220G

Challenges of Existing Video Surveillance

In the era of information overload, security operators struggle to manage vast amounts of data from multiple sources, striving to balance accuracy with rapid response time. While motion-activated cameras and sensors are designed to ease their burden, they often have the opposite effect, triggering excessive false alerts that not only increase operator workload but also waste resources. Even more concerning, security personnel tend to dismiss or overlook notifications due to alert fatigue, ultimately preventing potential threats from being addressed before they escalate.

Shift to Edge AI-Enabled Smart Surveillance is Underway

With the ever-evolving AI technology, advanced machine vision, and high-performance hardware, the implementation of a smart surveillance system capable of filtering irrelevant noise, predicting potential threats and taking preventative actions, is no longer an unfeasible task. Moreover, while AI applications have become increasingly resource-intensive, along with the demand for real-time video analytics, high-density edge AI computing that can effectively handle near-site video processing is gaining traction.

Edge AI Inference for Precise Threat Detection and Autonomous Response

Recently, SINTRONES, the leading edge AI computing supplier, has demonstrated the smart surveillance capability of its GPU-accelerated edge AI computer, the ABOX-5220G, at COMPUTEX 2025. Simulating crowd monitoring scenarios in a subway station, the ABOX-5220G provides real-time threat detection for main subway entrances via eight PoE-enabled IP cameras that work in tandem with a pre-trained AI model, capturing on-site images and simultaneously running AI inference to accurately identify harmful weapons carried by passengers. In addition to threat detection, the ABOX-5220G enhances security by proactively triggering preventative measures. For example, it can send alerts via a configured DIO port, activating flashing lights or sirens to deter security threats.

Leveraging Intel’s Geti and OpenVINO toolkit, designed to facilitate the development and deployment of various AI vision models at the edge, the ABOX-5220G is equipped with the learned patterns and contextual knowledge to tackle real-world challenges and detect anomalies tailored to specific requirements, ensuring optimal decision-making for any environmental changes.

AI Vision Applications Beyond Security

The AI-driven computer vision can be used to enhance safety not merely in public venues such as transportation, schools, and retail stores for threat detection, but also at construction sites or during shop floor operations for compliance monitoring or predictive maintenance. It is also applicable to smart manufacturing like automated defect inspection and workflow optimization to reduce workloads and improve operational efficiencies.

Expanding Revenue Opportunities with Scalable Applications

Beyond security and productivity enhancements, AI-powered analytics is poised to drive revenue growth, for example, by analyzing customer behavior and foot traffic to generate business insights. This application expansion requires deploying various AI models that repurpose existing surveillance cameras, increasing demand for high-bandwidth video processing and high-capacity storage. As a result, scalability becomes a critical factor when selecting an edge AI computing system.

Purposely designed for performance scaling and reliability, the ABOX-5220G not only offers a wide range of Intel CPU for diverse computational demands, but also discrete GPU options for AI efficiency boost. In terms of expandability, the system provides up to five NVMe or SATA type SSD slots for increased storage requirements, as well as mini PCIe and M.2 slots for further storage expansion and wireless connectivity, making it an ideal choice for future-oriented edge AI implementations.

ABOX-5220 GPU Computer Features

• Discrete NVIDIA RTX™ and Intel® Arc™ A370E Embedded GPU Options for AI Acceleration
• 2 x TSN Ready 2.5GbE Controller for Time-Sensitive Network
• 8 x GbE with Optional PoE Support for Easy Connection with IP Camera
• 8 x DI (9 – 60VDC), 2 x ADC (9 – 60VDC), and 4 x DO (5V, 100mA)
• Certified with CE, FCC, and E-Mark
• Compliant with EN 50155, EN 45545-2 R25 Standards