Real-Time AI Video Analysis: 16 Cameras on One Standard PC
Real-time multi-camera AI video analysis is often associated with high-power rackmount servers and complex infrastructure. Arcobel proves that processing high-density video streams can run locally on an accessible, standard industrial PC setup.
By leveraging a dedicated hardware accelerator, a standard PC running a single Axelera Metis AI PCIe accelerator card can capture, analyse, and process 16 video feeds simultaneously in real time without bottlenecking the CPU.
Live Crowd-Control Application
360-degree surround monitoring
- Sixteen cameras positioned in a circle and divided across four separate zones.
- AI-powered person detection continuously analysed images from all cameras to count occupants per zone.
- Virtual traffic lights triggered immediate visual warnings when occupancy exceeded predefined limits.
- Demonstrates converting multi-channel raw video data into actionable real-time insights.
Why Process Video at the Edge?
Local computing performance
- Low latency: Fast local analysis enables rapid real-time responses to detected events.
- Reduced bandwidth: Keeps heavy video data local without straining external networks.
- Network independence: Systems operate reliably without relying on continuous cloud connectivity.
- Efficient scaling: Replaces heavy server hardware with compact, targeted Edge AI acceleration.
Demonstrated Edge AI Hardware Platform
All 16 video streams are processed simultaneously on a single compact system using the following hardware configuration:
| Component | Configuration |
|---|---|
| Processor | 12th-generation Intel® Core™ i3 processor |
| Memory | 8 GB DDR5 memory |
| AI Accelerator | 1 × Axelera Metis AI PCIe Card (1x AIPU, 4GB, Active Cooling) |
| Camera Array | 16 × Cameras positioned in a 360-degree surround array |
This setup proves that multi-camera AI vision applications can run efficiently on accessible industrial hardware. Offloading neural network inference to the Axelera Metis card frees the Intel Core i3 host processor for standard computing tasks and system control.
From Crowd Control to Industrial Deployment
While this configuration was configured for multi-zone crowd management, the underlying computer vision architecture easily adapts to diverse industrial use cases:
Occupancy & Crowd Management
Real-time person detection, zone counting, and capacity thresholds across large venues.
Safety & Restricted Zone Monitoring
Automated visual boundary protection and instant safety breaches detection.
Industrial Quality Inspection
High-speed visual quality evaluation and object classification across assembly lines.
Multi-Camera Object Tracking
Continuous event tracking and flow analysis across multiple connected video feeds.
Developing the Right Edge AI Solution
Key requirements to evaluate
- Number of cameras, video resolution, and target frame rates.
- Required processing speed, latency targets, and AI model choices.
- Available interfaces, network connectivity, and storage options.
- Operating environment, thermal conditions, and physical form factor.
Application-Ready Systems
End-to-end hardware configuration
- Selecting, configuring, and integrating industrial computing hardware.
- Combining host platforms with AI accelerators like the Axelera Metis PCIe card.
- Tailoring hardware components around specific software pipelines.
- Ensuring long-term product availability and lifecycle management.
Building a successful AI vision application requires more than selecting an accelerator card. Arcobel combines system integration expertise with robust industrial hardware to build efficient, scalable solutions tailored for real-world Edge AI vision deployments.
Customer Case: Axelera AI
Discover how Axelera AI acceleration hardware is integrated into real-world computer vision applications.
Read Customer Case →Discuss Your Edge AI Application
Are you developing a real-time multi-camera vision system? Contact our engineering team to discuss your hardware specifications.
Contact Our Technical Team →Direct Telephone & Regional Support:
Netherlands (HQ): +31 (0)412 660 066
Belgium: +32 (0)2 357 02 00
Germany / DACH: +49 (0)211 5403 9655
Email: [email protected]
Real-Time AI Video Analysis: 16 Cameras on One Standard PC
Real-time multi-camera AI video analysis is often associated with high-power rackmount servers and complex infrastructure. Arcobel proves that processing high-density video streams can run locally on an accessible, standard industrial PC setup.
By leveraging a dedicated hardware accelerator, a standard PC running a single Axelera Metis AI PCIe accelerator card can capture, analyse, and process 16 video feeds simultaneously in real time without bottlenecking the CPU.
Multi-Zone Crowd Monitoring
360-degree surround monitoring
- Sixteen cameras positioned in a circle and divided across four separate zones.
- AI-powered person detection continuously analyses images from all cameras to count occupants per zone.
- Virtual traffic lights trigger immediate visual warnings when occupancy exceeds predefined limits.
- Converts multi-channel raw video data into actionable real-time insights.
Why Process Video at the Edge?
Local computing performance
- Low latency: Fast local analysis enables rapid real-time responses to detected events.
- Reduced bandwidth: Keeps heavy video data local without straining external networks.
- Network independence: Systems operate reliably without relying on continuous cloud connectivity.
- Efficient scaling: Replaces heavy server hardware with compact, targeted Edge AI acceleration.
Edge AI Hardware Platform
All 16 video streams are processed simultaneously on a single compact system using the following hardware configuration:
| Component | Configuration |
|---|---|
| Processor | 12th-generation Intel® Core™ i3 processor |
| Memory | 8 GB DDR5 memory |
| AI Accelerator | 1 × Axelera Metis AI PCIe Card (1x AIPU, 4GB, Active Cooling) |
| Camera Array | 16 × Cameras positioned in a 360-degree surround array |
This setup proves that multi-camera AI vision applications run efficiently on accessible industrial hardware. Offloading neural network inference to the Axelera Metis card frees the Intel Core i3 host processor for standard computing tasks and system control.
From Crowd Control to Industrial Deployment
This configuration handles multi-zone crowd management, and the underlying computer vision architecture easily adapts to diverse industrial use cases:
Occupancy & Crowd Management
Real-time person detection, zone counting, and capacity thresholds across large venues.
Safety & Restricted Zone Monitoring
Automated visual boundary protection and instant safety breach detection.
Industrial Quality Inspection
High-speed visual quality evaluation and object classification across assembly lines.
Multi-Camera Object Tracking
Continuous event tracking and flow analysis across multiple connected video feeds.
Developing the Right Edge AI Solution
Key requirements to evaluate
- Number of cameras, video resolution, and target frame rates.
- Required processing speed, latency targets, and AI model choices.
- Available interfaces, network connectivity, and storage options.
- Operating environment, thermal conditions, and physical form factor.
Application-Ready Systems
End-to-end hardware configuration
- Selecting, configuring, and integrating industrial computing hardware.
- Combining host platforms with AI accelerators like the Axelera Metis PCIe card.
- Tailoring hardware components around specific software pipelines.
- Ensuring long-term product availability and lifecycle management.
Building a successful AI vision application requires more than selecting an accelerator card. Arcobel combines system integration expertise with robust industrial hardware to build efficient, scalable solutions tailored for real-world Edge AI vision deployments.
Customer Case: Axelera AI
Discover how Axelera AI acceleration hardware is integrated into real-world computer vision applications.
Read Customer Case →Discuss Your Edge AI Application
Are you developing a real-time multi-camera vision system? Contact our engineering team to discuss your hardware specifications.
Contact Our Technical Team →Direct Telephone & Regional Support:
Netherlands (HQ): +31 (0)412 660 066
Belgium: +32 (0)2 357 02 00
Germany / DACH: +49 (0)211 5403 9655
Email: [email protected]