產品介紹
Overview
VLM-Based Deep Recognition
Core On-Premise Computing, Unlocking Unlimited Value
Powered by Argo AI at the edge, the system leverages a Vision-Language Model (VLM) to deliver advanced visual intelligence.
Spark AI edge server enables on-premise deployment, transforming live video into structured, real-time actionable data. It detects objects, analyzes attributes, and understands contextual interactions for fast search, precise insights, and confident decision-making.
All video data is processed locally and remains within your network, ensuring strict data sovereignty and security for government and high-security industrial environments.
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Core Capabilities
Automatically understands, analyzes, and interprets visual data—transforming video into actionable insights and decision-ready intelligence.
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Deep Recognition Triggered by Argo AI at the edge, leveraging a Vision-Language Model (VLM) for deep visual understanding. |
Visual Search Skip timeline search, one snapshot finds target attributes (e.g., clothing, vehicle type) instantly. |
Data Indexing Supports cross-system synchronization of recognition results. |
Smart Alerts Real-time notifications via LINE and email instantly alert you to critical events. |
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Applications
The evolution of AI technology is fundamentally reshaping the value of video surveillance.
Spark focuses on seamlessly integrating hardware architecture with AI algorithms, enabling deep visual understanding. We help customers accelerate innovation and transform systems from passive recording into proactive, real-time response.
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Smart City / Traffic Identify vehicle attributes & |
Construtin / Industrial PPE safety & compliance auditing. |
Public Safety Personnel and Object Recognition |
Healticare Medical PPE Compliance Detection |
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Product Specifications
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Categories |
Item | Content |
AI Management |
Applicable |
32–128 channels |
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Person Appearance |
- Tops, Pants, Headwear, Eyewear, Carrying |
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Designated Object |
- Industrial and Medical PPE |
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Advanced Analytics |
Fire and smoke detection |
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Video Understanding |
Automatic extraction of scenarios and behaviors |
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| Server |
Model |
SR-VLM-330-V2 (KNEO330 plus) |
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AI Accelerator |
Kneron™ embedded NPU |
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Computing |
Power Total 400 TOPS |
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Memory |
32 GB DDR-4 3200 MHz |
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Storage |
2TB NVMe SSD |
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Operating System |
Ubuntu Linux |
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I/O port |
Front: USB 2.0 x2 , Rear: USB 3.2 Type-A x4/Type-C x1 |
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Network |
RJ-45 Gigabit Ethernet x1 |
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Accessories |
Rack Mount Ears |
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Power Supply |
100-240V 50/60Hz, Max 850W |
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Country of origin |
Made in Taiwan |
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Dimensions |
428 x 350 x 89mm (Rack mount 2U) |
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Certification |
NDAA / CE / FCC / BSMI |
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Operating Temp |
Operating Temp 0°C ~ 40°C |
*This host must be used with Argo AI VMS platform to achieve full AI performance.
VLM-Based Deep Recognition
Core On-Premise Computing, Unlocking Unlimited Value
Powered by Argo AI at the edge, the system leverages a Vision-Language Model (VLM) to deliver advanced visual intelligence.
Spark AI edge server enables on-premise deployment, transforming live video into structured, real-time actionable data. It detects objects, analyzes attributes, and understands contextual interactions for fast search, precise insights, and confident decision-making.
All video data is processed locally and remains within your network, ensuring strict data sovereignty and security for government and high-security industrial environments.
|
|
Core Capabilities
Automatically understands, analyzes, and interprets visual data—transforming video into actionable insights and decision-ready intelligence.
![]() |
![]() |
||||
|
Deep Recognition Triggered by Argo AI at the edge, leveraging a Vision-Language Model (VLM) for deep visual understanding. |
Visual Search Skip timeline search, one snapshot finds target attributes (e.g., clothing, vehicle type) instantly. |
||||
![]() |
![]() |
||||
|
Data Indexing Supports cross-system synchronization of recognition results. |
Smart Alerts Real-time notifications via LINE and email instantly alert you to critical events. |
||||
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Applications
The evolution of AI technology is fundamentally reshaping the value of video surveillance.
Spark focuses on seamlessly integrating hardware architecture with AI algorithms, enabling deep visual understanding. We help customers accelerate innovation and transform systems from passive recording into proactive, real-time response.
![]() |
![]() |
||||
|
Smart City / Traffic Identify vehicle attributes & |
Construtin / Industrial PPE safety & compliance auditing. |
||||
![]() |
![]() |
||||
|
Public Safety Personnel and Object Recognition |
Healticare Medical PPE Compliance Detection |
||||
Product Specifications
|
Categories |
Item | Content |
AI Management |
Applicable |
32–128 channels |
|
Person Appearance |
- Tops, Pants, Headwear, Eyewear, Carrying |
|
|
Designated Object |
- Industrial and Medical PPE |
|
|
Advanced Analytics |
Fire and smoke detection |
|
|
Video Understanding |
Automatic extraction of scenarios and behaviors |
|
| Server |
Model |
SR-VLM-330-V2 (KNEO330 plus) |
|
AI Accelerator |
Kneron™ embedded NPU |
|
|
Computing |
Power Total 400 TOPS |
|
|
Memory |
32 GB DDR-4 3200 MHz |
|
|
Storage |
2TB NVMe SSD |
|
|
Operating System |
Ubuntu Linux |
|
|
I/O port |
Front: USB 2.0 x2 , Rear: USB 3.2 Type-A x4/Type-C x1 |
|
|
Network |
RJ-45 Gigabit Ethernet x1 |
|
|
Accessories |
Rack Mount Ears |
|
|
Power Supply |
100-240V 50/60Hz, Max 850W |
|
|
Country of origin |
Made in Taiwan |
|
|
Dimensions |
428 x 350 x 89mm (Rack mount 2U) |
|
|
Certification |
NDAA / CE / FCC / BSMI |
|
|
Operating Temp |
Operating Temp 0°C ~ 40°C |
*This host must be used with Argo AI VMS platform to achieve full AI performance.













