Industrial PC / Vision Controller
| Cat | Products Name | Price |
|---|---|---|
| AIMRSE-RV-VCP-001 | 3U Desktop Industrial PC (Intel 10th/11th Gen) | |
| AIMRSE-RV-VCP-002 | 3U Desktop Industrial PC (Intel 12th/13th Gen) | |
| AIMRSE-RV-VCP-003 | 3U Desktop Industrial PC (Intel 8th/9th Gen) | |
| AIMRSE-RV-VCP-004 | 3U Desktop Industrial PC (Intel 10th/11th Gen Q470) | |
| AIMRSE-RV-VCP-005 | 4U Rackmount Industrial PC (Intel 12th/13th Gen) | |
| AIMRSE-RV-VCP-006 | 4U Rackmount Industrial PC (Intel 10th/11th Gen) | |
| AIMRSE-RV-VCP-007 | 4U Rackmount Industrial PC (Intel 8th/9th Gen) | |
| AIMRSE-RV-VCP-008 | 4U Rackmount Industrial PC (Intel 10th/11th Gen Q470) | |
| AIMRSE-RV-VCP-009 | Wall-Mount Industrial PC (Intel 12th/13th Gen) | |
| AIMRSE-RV-VCP-010 | Wall-Mount Industrial PC (Intel 6th-9th Gen) |
Introduction
An Industrial PC (IPC) or Vision Controller serves as the centralized "brain" of a machine vision system. Unlike standard computers, vision controllers are purpose-built to handle massive amounts of high-speed image data from multiple cameras simultaneously. Featuring ruggedized, fanless designs, integrated PoE (Power over Ethernet) ports, and dedicated hardware acceleration (GPU/FPGA), these controllers ensure deterministic performance in harsh factory environments. They bridge the gap between raw optical data and industrial automation logic, coordinating everything from camera triggering to robotic arm guidance.
Working Principle
1. Data Ingestion
High-bandwidth image streams are captured from multiple cameras via independent GigE or USB 3.0 controllers to prevent data bottlenecks.
2. Parallel Processing
The multi-core CPU and integrated GPU perform rapid image decoding, filtering, and feature extraction using optimized vision algorithms.
3. Logic Execution
Vision software evaluates the processed data against preset parameters, making real-time decisions such as pass/fail or coordinate calculation.
4. Command Dispatch
Results are sent via low-latency industrial protocols (EtherCAT, PROFINET) or digital I/O to trigger actuators, robots, or PLC systems.
Key Technical Specifications
-
Multi-Camera Interface Hub
Integrated independent GigE controllers with Power-over-Ethernet (PoE+) support, allowing for stable 4-channel or 8-channel camera connections with a single cable per unit. -
Edge AI Acceleration
Features expansion slots for high-performance GPUs (NVIDIA RTX) or dedicated NPUs to handle complex deep learning inference and 3D point cloud reconstruction. -
Industrial Real-Time I/O
Equipped with isolated digital I/O and specialized trigger inputs that provide microsecond-level precision for synchronizing camera shutters with external lighting and motion. -
Fanless Thermal Management
Advanced heat-pipe cooling and corrugated aluminum housings designed to operate 24/7 in high-temperature, dusty environments without moving parts. -
Ruggedized Storage & Memory
Utilizes industrial-grade NVMe SSDs and ECC memory to ensure data integrity and high-speed image logging during continuous production runs. -
Broad Power Input Range
Supports wide-range DC power inputs (9V-36V) with over-voltage and reverse-polarity protection, suitable for diverse industrial electrical cabinets.
System Interfaces
GigE PoE & USB 3.0 Ports
Dedicated high-speed lanes for camera communication, providing both the power and the data bandwidth required for high-resolution imaging without frame loss.
Industrial Fieldbus (EtherCAT/PROFINET)
Support for master/slave industrial communication protocols, enabling sub-millisecond synchronization with PLC and motion control systems.
PCIe & M.2 Expansion
Modular slots for adding frame grabbers, AI accelerator cards, or high-capacity storage modules to scale with project complexity.
Typical Applications
Robotic Guidance
Calculating 3D pick-and-place coordinates for multi-axis robotic arms in complex assembly and bin-picking applications.
High-Speed AOI
Processing simultaneous streams from multiple high-resolution cameras to inspect PCBs or semiconductor wafers for micro-defects.
Logistics Sorting
Running deep learning models at the edge for real-time parcel classification, barcode reading, and volume measurement on fast conveyors.
Selection Guide
Selecting the right vision controller is critical for system stability. At AIMRSE, we engineer our computing platforms to balance raw power with industrial reliability:
- Compute Power: Matching CPU cores and GPU performance to the frame rate and algorithm complexity (e.g., 2D vs. 3D vision).
- Port Density: Ensuring the controller has enough independent GigE or USB controllers to support the total camera count without bandwidth sharing.
- Environmental Resilience: Choosing fanless designs for high-vibration or high-dust environments to maximize the system MTBF (Mean Time Between Failures).
- I/O Requirements: Selecting models with integrated isolated digital I/O when precise hardware-timed triggering is required for moving production lines.
Industrial Reliability Standards
Our vision controllers are built to survive 24/7 operation in the world's most demanding factories:
- Vibration/Shock: Tested according to MIL-STD-810G for continuous operation on mobile platforms and AGVs.
- EMC Compliance: Full CE, FCC, and RoHS certification with heavy industrial-grade ESD protection.
- Component Lifecycle: Guaranteed 5-10 year long-term availability for stable industrial deployments.
Software Integration & OS
We provide a pre-optimized software environment to reduce the time from system assembly to production:
- Supports Windows 10/11 IoT Enterprise and Ubuntu Desktop/Server.
- Pre-installed drivers for GigE Vision, USB3 Vision, and GenICam protocols.
- Native support for Halcon, VisionPro, LabVIEW, and Cognex libraries.
- Comprehensive API for integrated industrial I/O and watchdog timers.
Related Products
Technical data represent typical values. As applications vary, we recommend consulting our technical team to ensure the best fit for your specific requirements.
Contact Form
