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Th high-end series of Spark network cameras are made in Italy, the Omnieye series of network cameras are made in Taiwan.

Yes, we offer a standard 3 years warranty for all products, along with professional technical support to help resolve any usage issues.

After the warranty period, we provide extended warranty and maintenance value-added services for your peace of mind.

If you have any questions, feel free to contact us anytime!

Yes, Spark’s entire product line is fully compliant with the National Defense Authorization Act (NDAA) standards.

Read more about NDAA & TAA Statement

Argo AI VMS does everything a traditional video management system does, such as managing and recording video footage, but it goes a step further with AI-powered analytics. It can automatically detect and identify people, vehicles, license plates from different countries, and even events such as smoke or fire. On top of that, it can detect incidents in real time, making monitoring faster, smarter, and much more efficient.

You can download the latest installation package and related documents from the file download center. Please click here: Argo Download Center

Before installation, it’s recommended to review the Quick Start Guide and tutorial videos to ensure a smooth setup. Watch here: Tutorial Videos

★ If you need a trial license, please contact us.

Yes. Argo supports integration with a wide range of third-party devices, including license plate recognition cameras, third-party cameras (ONVIF or RTSP), Soyal network I/O modules, SIP-based IP intercom systems, 24GHz radar for motion detection, and LED display screens, among others.

Argo currently supports Traditional Chinese, English, Italian, Japanese, and Spanish.

Argo’s AI analytics can be applied in smart cities, factory safety monitoring, parking management, as well as community and campus security.

For example, it can detect intrusions, boundary crossing behavior, smoke and fire, and even analyze people flow and vehicle traffic—helping improve both safety and overall operational efficiency.

Yes, Argo AI VMS features an integrated Data Dashboard designed to transform complex video metadata into actionable intelligence.

It depends on the deployment scenario. AI video analytics can be processed through an AI VMS Server or an AI VMS Mini solution.

If you’re using a standard server, you may need additional hardware such as a GPU or an AI acceleration card to ensure better AI computing performance.

Yes. Argo provides continuous recording, scheduled recording, event-based recording, and a failover/recording recovery mechanism to ensure no critical footage is lost.

In addition, the system supports 300 seconds of pre-event and post-event recording, allowing a complete view of what happened before and after an incident.

Argo has a built-in proactive health monitoring feature. If a device goes offline or an issue is detected, the system will automatically send alerts via LINE or email.

It also provides basic troubleshooting suggestions to help quickly identify and resolve the problem, ensuring continuous and reliable surveillance.

Yes. Argo supports multi-layer electronic maps, allowing users to intuitively drag and place cameras onto their correct locations.

When an event occurs, the system displays real-time video and alarms directly on the map, helping operators quickly understand the situation and respond faster.

Argo uses license plate recognition cameras and eTag devices to track vehicle entry and exit in real time. It also supports VIP, blacklist, and whitelist management for flexible access control.

In addition, the system can generate reports on vehicle details such as brand, model, color, and access time, making it easier to analyze traffic flow and manage operations effectively.

Yes. Argo is compatible with ONVIF-standard cameras, third-party hardware devices, and RTSP video streams, allowing flexible integration with a wide range of surveillance equipment.

Yes. Argo supports both local and remote IP access, allowing users to view live video anytime through PC, tablet, and mobile devices (mobile app coming soon).

This provides greater flexibility and ensures users can monitor their systems from anywhere.

Argo’s AI video analytics can recognize up to 10 faces simultaneously and up to 100 human body detections (human silhouettes).

This enables effective tracking of crowd activity in large areas, while also allowing the system to identify and monitor specific individuals when needed.

For human detection, the minimum requirement is 720P resolution with 5 FPS.

Different AI recognition functions may have different requirements—for example, vehicle recognition, smoke detection, and fire detection each require specific resolution and frame rate settings depending on the application.

If you need more detailed guidance, please contact us, and our team will provide professional support and recommendations.