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- Intel® Movidius™ Myriad™ X VPU Integration:
Each NEON‑i2000 camera incorporates the Myriad™ X Vision Processing Unit, optimized for deep learning inference at the edge. This enables efficient execution of convolutional neural networks (CNNs) and AI workloads directly on the device.
- Embedded Intel® Atom® x5‑E3930 Processor:
Dual‑core processor providing sufficient computational power for image preprocessing, control logic, and communication tasks.
- Multiple Sensor Options:
Four distinct color sensor configurations are available, offering resolutions from 1.2 megapixels to 5 megapixels, with both global and rolling shutter options to suit various imaging requirements.
- Comprehensive I/O Interfaces:
Equipped with 4× digital inputs, 4× digital outputs, 1× communication (COM) port, and 1× LAN port for network connectivity. A USB Type‑C port supports display and peripheral connections.
- Expandable Storage:
Integrated Micro SD slot for external storage expansion, enabling local data logging and model storage.
- Compact Industrial Design:
Engineered for easy installation and deployment in industrial environments, minimizing cabling complexity and space requirements.
- Software Ecosystem:
Fully compatible with Ubuntu Linux and Intel® OpenVINO™ toolkit, allowing developers to deploy pre‑trained neural networks and optimize inference performance.
- Flexible Deployment:
Designed for edge AI applications such as object detection, classification, quality inspection, and process monitoring.
Each NEON‑i2000 camera incorporates the Myriad™ X Vision Processing Unit, optimized for deep learning inference at the edge. This enables efficient execution of convolutional neural networks (CNNs) and AI workloads directly on the device.
- Embedded Intel® Atom® x5‑E3930 Processor:
Dual‑core processor providing sufficient computational power for image preprocessing, control logic, and communication tasks.
- Multiple Sensor Options:
Four distinct color sensor configurations are available, offering resolutions from 1.2 megapixels to 5 megapixels, with both global and rolling shutter options to suit various imaging requirements.
- Comprehensive I/O Interfaces:
Equipped with 4× digital inputs, 4× digital outputs, 1× communication (COM) port, and 1× LAN port for network connectivity. A USB Type‑C port supports display and peripheral connections.
- Expandable Storage:
Integrated Micro SD slot for external storage expansion, enabling local data logging and model storage.
- Compact Industrial Design:
Engineered for easy installation and deployment in industrial environments, minimizing cabling complexity and space requirements.
- Software Ecosystem:
Fully compatible with Ubuntu Linux and Intel® OpenVINO™ toolkit, allowing developers to deploy pre‑trained neural networks and optimize inference performance.
- Flexible Deployment:
Designed for edge AI applications such as object detection, classification, quality inspection, and process monitoring.
Comprehensive Product Summary: ADLINK NEON‑i2000 Series Industrial AI Camera Family
### 1. Product Overview
Product Name: NEON‑i2000 Series
Model Variants: NEON‑i201B, NEON‑i202B, NEON‑i203B, NEON‑i204B
Series: NEON‑i2000 Industrial AI Camera Family
Article Number: NEON‑i2000 Series
Manufacturer: ADLINK Technology, Inc.
Product Type: Intel® Movidius™ Myriad™ X VPU‑based industrial AI smart camera for edge computing
Product Category: Embedded Vision / Edge AI Camera Systems
The ADLINK NEON‑i2000 series represents a family of compact, industrial‑grade AI cameras designed for edge computing and machine vision applications. Each model integrates an Intel® Atom® x5‑E3930 processor and an Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU), enabling on‑device deep learning inference and real‑time image analysis without reliance on external computing resources. The series supports multiple color image sensors, diverse I/O interfaces, and flexible software compatibility with Ubuntu and Intel® OpenVINO™ toolkit, making it a versatile solution for industrial automation, inspection, and AI‑based vision tasks.
### 2. Key Features
- Intel® Movidius™ Myriad™ X VPU Integration:
Each NEON‑i2000 camera incorporates the Myriad™ X Vision Processing Unit, optimized for deep learning inference at the edge. This enables efficient execution of convolutional neural networks (CNNs) and AI workloads directly on the device.
- Embedded Intel® Atom® x5‑E3930 Processor:
Dual‑core processor providing sufficient computational power for image preprocessing, control logic, and communication tasks.
- Multiple Sensor Options:
Four distinct color sensor configurations are available, offering resolutions from 1.2 megapixels to 5 megapixels, with both global and rolling shutter options to suit various imaging requirements.
- Comprehensive I/O Interfaces:
Equipped with 4× digital inputs, 4× digital outputs, 1× communication (COM) port, and 1× LAN port for network connectivity. A USB Type‑C port supports display and peripheral connections.
- Expandable Storage:
Integrated Micro SD slot for external storage expansion, enabling local data logging and model storage.
- Compact Industrial Design:
Engineered for easy installation and deployment in industrial environments, minimizing cabling complexity and space requirements.
- Software Ecosystem:
Fully compatible with Ubuntu Linux and Intel® OpenVINO™ toolkit, allowing developers to deploy pre‑trained neural networks and optimize inference performance.
- Flexible Deployment:
Designed for edge AI applications such as object detection, classification, quality inspection, and process monitoring.
### 3. Technical Specifications
| Parameter | Specification |
|----------------|-------------------|
| Processor | Intel® Atom® x5‑E3930 (dual‑core, 1.3 GHz base frequency) |
| AI Accelerator | Intel® Movidius™ Myriad™ X VPU |
| Operating System Support | Ubuntu Linux |
| AI Framework Support | Intel® OpenVINO™ toolkit |
| I/O Interfaces | 4× Digital Input, 4× Digital Output, 1× COM Port, 1× LAN Port, 1× USB Type‑C (for display and USB) |
| Storage | 1× Micro SD slot for external storage |
| Sensor Options | Four color sensor configurations (see below) |
| Power Supply | Industrial DC input (specification dependent on model) |
| Construction | Industrial‑grade enclosure, compact form factor |
| Operating Temperature | Industrial range (typical for ADLINK cameras: 0°C to 50°C, depending on configuration) |
| Mounting Options | Standard industrial mounting interfaces (DIN rail, bracket, or panel mount) |
| Weight | Compact lightweight design (exact weight varies by model) |
Sensor Configurations:
| Model | Sensor Type | Resolution | Frame Rate | Shutter Type | Color |
|------------|----------------|----------------|----------------|------------------|-----------|
| NEON‑i201B | CMOS Sensor | 1.2 Megapixels | 54 fps | Global Shutter | Color |
| NEON‑i202B | CMOS Sensor | 1.9 Megapixels | 60 fps | Global Shutter | Color |
| NEON‑i203B | CMOS Sensor | 2.0 Megapixels | 30 fps | Rolling Shutter | Color |
| NEON‑i204B | CMOS Sensor | 5.0 Megapixels | 14 fps | Rolling Shutter | Color |
### 4. Functionality
The NEON‑i2000 series functions as a self‑contained AI vision system, combining image capture, processing, and inference capabilities within a single device. The integrated Intel® Movidius™ Myriad™ X VPU accelerates deep learning inference, enabling real‑time analysis of visual data directly at the edge. This eliminates the need for external GPUs or cloud‑based processing, reducing latency and network dependency.
Operational Workflow:
1. Image Acquisition: The onboard color sensor captures high‑resolution images or video streams.
2. Preprocessing: The Intel® Atom® processor handles image preprocessing, filtering, and data management.
3. Inference Execution: The Myriad™ X VPU executes neural network models optimized through OpenVINO™, performing tasks such as object detection, classification, segmentation, or anomaly detection.
4. Output & Communication: Results are transmitted via digital I/O, COM, or LAN interfaces to control systems, PLCs, or monitoring dashboards.
Use Cases & Applications:
- Industrial automation and robotics vision
- Quality inspection and defect detection
- Object recognition and sorting systems
- Smart manufacturing and predictive maintenance
- Edge AI analytics in logistics and warehousing
- Embedded vision in autonomous equipment
Compatibility:
- Compatible with Ubuntu Linux operating systems
- Supports Intel® OpenVINO™ toolkit for AI model deployment
- Integrates with industrial control systems via digital I/O and COM interfaces
- Network connectivity via standard Ethernet (LAN)
### 5. Components & Accessories
Included Accessories:
- DB15 Pin I/O Cable: Provides access to digital input/output channels for integration with external devices or control systems.
- Type‑C Hub for HDMI and USB: Enables connection to external displays and USB peripherals for configuration, monitoring, or debugging.
- DIN37 I/O Extension Board: Expands I/O capabilities for complex automation setups or multi‑device integration.
Optional Add‑Ons (Typical for ADLINK Ecosystem):
- Mounting brackets and enclosures
- Power adapters and industrial connectors
- Additional storage media (Micro SD cards)
- Software development kits (SDKs) for AI model deployment
### 6. Installation & Setup
Requirements:
- Power supply compatible with industrial DC input specifications
- Network connection via LAN port for remote access or data transmission
- Ubuntu Linux environment for software configuration and AI model deployment
Mounting Options:
- Compact chassis allows flexible installation on production lines, robotic arms, or inspection stations.
- Compatible with standard industrial mounts (DIN rail, bracket, or panel mount).
Configuration Steps:
1. Physical Installation: Secure the camera using the appropriate mounting hardware.
2. Power & Connectivity: Connect power, LAN, and I/O cables using the provided DB15 and Type‑C interfaces.
3. Software Setup: Install Ubuntu and Intel® OpenVINO™ toolkit.
4. Model Deployment: Load pre‑trained neural network models optimized for the Myriad™ X VPU.
5. Calibration & Testing: Adjust focus, exposure, and inference parameters to match the application environment.
The integrated design minimizes cabling and simplifies deployment, making the NEON‑i2000 series ideal for retrofitting into existing industrial systems or integrating into new automation lines.
### 7. Performance & Capabilities
Processing Performance:
- The Intel® Atom® x5‑E3930 provides efficient control and preprocessing capabilities.
- The Intel® Movidius™ Myriad™ X VPU delivers high‑performance AI inference with low power consumption, supporting multiple neural network layers and parallel processing.
Imaging Performance:
- High‑speed frame rates up to 60 fps (model‑dependent)
- Global and rolling shutter options for motion or static imaging
- High‑fidelity color capture for accurate visual analysis
AI Inference Capabilities:
- Supports deep learning models for object detection, classification, and segmentation
- Optimized for OpenVINO™ inference engine, enabling deployment of TensorFlow, Caffe, or ONNX models after conversion
Efficiency:
- Edge processing reduces data transmission requirements
- Low power consumption compared to GPU‑based systems
- Compact design minimizes space and cooling needs
Limitations:
- Designed primarily for edge inference; not intended for large‑scale training workloads
- Frame rate and resolution vary by model and sensor configuration
- Environmental limits depend on industrial operating conditions (temperature, vibration, etc.)
### 8. Standards & Compliance
Certifications & Compliance:
- Designed and manufactured by ADLINK Technology, a company compliant with international industrial and safety standards.
- Conforms to CE and FCC regulations for electromagnetic compatibility (typical for ADLINK industrial products).
- RoHS compliant for environmental safety and material restrictions.
- Compatible with Intel® OpenVINO™ framework standards for AI model deployment.
Industry Standards:
- Ethernet and COM interfaces follow standard industrial communication protocols.
- Digital I/O conforms to industrial voltage and signal standards.
- Sensor modules adhere to standard CMOS imaging specifications.
### 9. Additional Information
Warranty:
- Standard ADLINK limited warranty (typically 1–3 years, depending on region and configuration).
- Covers manufacturing defects and hardware reliability under normal operating conditions.
Support & Services:
- Technical support available through ADLINK’s global service network.
- Online documentation, software updates, and driver downloads accessible via [www.adlinktech.com](https://www.adlinktech.com).
- Developer resources for OpenVINO™ integration and AI model optimization.
Maintenance:
- Minimal maintenance required due to solid‑state design.
- Periodic cleaning of optical surfaces recommended for optimal image quality.
- Firmware and software updates available through ADLINK’s support portal.
Product Lifecycle & Updates:
- Long‑term availability typical of ADLINK industrial products, ensuring continuity for OEM and system integrator applications.
- Regular firmware and software updates to maintain compatibility with evolving AI frameworks and operating systems.
### Summary
The ADLINK NEON‑i2000 series is a robust, industrial‑grade AI camera family engineered for edge computing environments. By integrating an Intel® Atom® x5‑E3930 processor with an Intel® Movidius™ Myriad™ X VPU, it delivers high‑performance deep learning inference directly on the device. The series offers multiple sensor configurations—ranging from 1.2 MP to 5 MP—with both global and rolling shutter options, catering to diverse imaging requirements.
Comprehensive I/O connectivity (4× digital inputs, 4× digital outputs, COM, LAN, and USB Type‑C) and expandable storage via Micro SD make it adaptable to a wide range of industrial automation and machine vision applications. Compatibility with Ubuntu and OpenVINO™ ensures seamless integration into AI development workflows.
With its compact design, flexible mounting options, and industrial reliability, the NEON‑i2000 series provides a complete edge AI vision solution for manufacturers, system integrators, and developers seeking to deploy intelligent vision systems in real‑world industrial environments.
Manufacturer: ADLINK Technology, Inc.
Website: [www.adlinktech.com](https://www.adlinktech.com)
Product Family: NEON‑i2000 Series – Intel® Movidius™ Myriad™ X‑based Industrial AI Cameras
Models: NEON‑i201B, NEON‑i202B, NEON‑i203B, NEON‑i204B
Last Updated: December 31, 2019
All specifications subject to change without notice.
### 1. Product Overview
Product Name: NEON‑i2000 Series
Model Variants: NEON‑i201B, NEON‑i202B, NEON‑i203B, NEON‑i204B
Series: NEON‑i2000 Industrial AI Camera Family
Article Number: NEON‑i2000 Series
Manufacturer: ADLINK Technology, Inc.
Product Type: Intel® Movidius™ Myriad™ X VPU‑based industrial AI smart camera for edge computing
Product Category: Embedded Vision / Edge AI Camera Systems
The ADLINK NEON‑i2000 series represents a family of compact, industrial‑grade AI cameras designed for edge computing and machine vision applications. Each model integrates an Intel® Atom® x5‑E3930 processor and an Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU), enabling on‑device deep learning inference and real‑time image analysis without reliance on external computing resources. The series supports multiple color image sensors, diverse I/O interfaces, and flexible software compatibility with Ubuntu and Intel® OpenVINO™ toolkit, making it a versatile solution for industrial automation, inspection, and AI‑based vision tasks.
### 2. Key Features
- Intel® Movidius™ Myriad™ X VPU Integration:
Each NEON‑i2000 camera incorporates the Myriad™ X Vision Processing Unit, optimized for deep learning inference at the edge. This enables efficient execution of convolutional neural networks (CNNs) and AI workloads directly on the device.
- Embedded Intel® Atom® x5‑E3930 Processor:
Dual‑core processor providing sufficient computational power for image preprocessing, control logic, and communication tasks.
- Multiple Sensor Options:
Four distinct color sensor configurations are available, offering resolutions from 1.2 megapixels to 5 megapixels, with both global and rolling shutter options to suit various imaging requirements.
- Comprehensive I/O Interfaces:
Equipped with 4× digital inputs, 4× digital outputs, 1× communication (COM) port, and 1× LAN port for network connectivity. A USB Type‑C port supports display and peripheral connections.
- Expandable Storage:
Integrated Micro SD slot for external storage expansion, enabling local data logging and model storage.
- Compact Industrial Design:
Engineered for easy installation and deployment in industrial environments, minimizing cabling complexity and space requirements.
- Software Ecosystem:
Fully compatible with Ubuntu Linux and Intel® OpenVINO™ toolkit, allowing developers to deploy pre‑trained neural networks and optimize inference performance.
- Flexible Deployment:
Designed for edge AI applications such as object detection, classification, quality inspection, and process monitoring.
### 3. Technical Specifications
| Parameter | Specification |
|----------------|-------------------|
| Processor | Intel® Atom® x5‑E3930 (dual‑core, 1.3 GHz base frequency) |
| AI Accelerator | Intel® Movidius™ Myriad™ X VPU |
| Operating System Support | Ubuntu Linux |
| AI Framework Support | Intel® OpenVINO™ toolkit |
| I/O Interfaces | 4× Digital Input, 4× Digital Output, 1× COM Port, 1× LAN Port, 1× USB Type‑C (for display and USB) |
| Storage | 1× Micro SD slot for external storage |
| Sensor Options | Four color sensor configurations (see below) |
| Power Supply | Industrial DC input (specification dependent on model) |
| Construction | Industrial‑grade enclosure, compact form factor |
| Operating Temperature | Industrial range (typical for ADLINK cameras: 0°C to 50°C, depending on configuration) |
| Mounting Options | Standard industrial mounting interfaces (DIN rail, bracket, or panel mount) |
| Weight | Compact lightweight design (exact weight varies by model) |
Sensor Configurations:
| Model | Sensor Type | Resolution | Frame Rate | Shutter Type | Color |
|------------|----------------|----------------|----------------|------------------|-----------|
| NEON‑i201B | CMOS Sensor | 1.2 Megapixels | 54 fps | Global Shutter | Color |
| NEON‑i202B | CMOS Sensor | 1.9 Megapixels | 60 fps | Global Shutter | Color |
| NEON‑i203B | CMOS Sensor | 2.0 Megapixels | 30 fps | Rolling Shutter | Color |
| NEON‑i204B | CMOS Sensor | 5.0 Megapixels | 14 fps | Rolling Shutter | Color |
### 4. Functionality
The NEON‑i2000 series functions as a self‑contained AI vision system, combining image capture, processing, and inference capabilities within a single device. The integrated Intel® Movidius™ Myriad™ X VPU accelerates deep learning inference, enabling real‑time analysis of visual data directly at the edge. This eliminates the need for external GPUs or cloud‑based processing, reducing latency and network dependency.
Operational Workflow:
1. Image Acquisition: The onboard color sensor captures high‑resolution images or video streams.
2. Preprocessing: The Intel® Atom® processor handles image preprocessing, filtering, and data management.
3. Inference Execution: The Myriad™ X VPU executes neural network models optimized through OpenVINO™, performing tasks such as object detection, classification, segmentation, or anomaly detection.
4. Output & Communication: Results are transmitted via digital I/O, COM, or LAN interfaces to control systems, PLCs, or monitoring dashboards.
Use Cases & Applications:
- Industrial automation and robotics vision
- Quality inspection and defect detection
- Object recognition and sorting systems
- Smart manufacturing and predictive maintenance
- Edge AI analytics in logistics and warehousing
- Embedded vision in autonomous equipment
Compatibility:
- Compatible with Ubuntu Linux operating systems
- Supports Intel® OpenVINO™ toolkit for AI model deployment
- Integrates with industrial control systems via digital I/O and COM interfaces
- Network connectivity via standard Ethernet (LAN)
### 5. Components & Accessories
Included Accessories:
- DB15 Pin I/O Cable: Provides access to digital input/output channels for integration with external devices or control systems.
- Type‑C Hub for HDMI and USB: Enables connection to external displays and USB peripherals for configuration, monitoring, or debugging.
- DIN37 I/O Extension Board: Expands I/O capabilities for complex automation setups or multi‑device integration.
Optional Add‑Ons (Typical for ADLINK Ecosystem):
- Mounting brackets and enclosures
- Power adapters and industrial connectors
- Additional storage media (Micro SD cards)
- Software development kits (SDKs) for AI model deployment
### 6. Installation & Setup
Requirements:
- Power supply compatible with industrial DC input specifications
- Network connection via LAN port for remote access or data transmission
- Ubuntu Linux environment for software configuration and AI model deployment
Mounting Options:
- Compact chassis allows flexible installation on production lines, robotic arms, or inspection stations.
- Compatible with standard industrial mounts (DIN rail, bracket, or panel mount).
Configuration Steps:
1. Physical Installation: Secure the camera using the appropriate mounting hardware.
2. Power & Connectivity: Connect power, LAN, and I/O cables using the provided DB15 and Type‑C interfaces.
3. Software Setup: Install Ubuntu and Intel® OpenVINO™ toolkit.
4. Model Deployment: Load pre‑trained neural network models optimized for the Myriad™ X VPU.
5. Calibration & Testing: Adjust focus, exposure, and inference parameters to match the application environment.
The integrated design minimizes cabling and simplifies deployment, making the NEON‑i2000 series ideal for retrofitting into existing industrial systems or integrating into new automation lines.
### 7. Performance & Capabilities
Processing Performance:
- The Intel® Atom® x5‑E3930 provides efficient control and preprocessing capabilities.
- The Intel® Movidius™ Myriad™ X VPU delivers high‑performance AI inference with low power consumption, supporting multiple neural network layers and parallel processing.
Imaging Performance:
- High‑speed frame rates up to 60 fps (model‑dependent)
- Global and rolling shutter options for motion or static imaging
- High‑fidelity color capture for accurate visual analysis
AI Inference Capabilities:
- Supports deep learning models for object detection, classification, and segmentation
- Optimized for OpenVINO™ inference engine, enabling deployment of TensorFlow, Caffe, or ONNX models after conversion
Efficiency:
- Edge processing reduces data transmission requirements
- Low power consumption compared to GPU‑based systems
- Compact design minimizes space and cooling needs
Limitations:
- Designed primarily for edge inference; not intended for large‑scale training workloads
- Frame rate and resolution vary by model and sensor configuration
- Environmental limits depend on industrial operating conditions (temperature, vibration, etc.)
### 8. Standards & Compliance
Certifications & Compliance:
- Designed and manufactured by ADLINK Technology, a company compliant with international industrial and safety standards.
- Conforms to CE and FCC regulations for electromagnetic compatibility (typical for ADLINK industrial products).
- RoHS compliant for environmental safety and material restrictions.
- Compatible with Intel® OpenVINO™ framework standards for AI model deployment.
Industry Standards:
- Ethernet and COM interfaces follow standard industrial communication protocols.
- Digital I/O conforms to industrial voltage and signal standards.
- Sensor modules adhere to standard CMOS imaging specifications.
### 9. Additional Information
Warranty:
- Standard ADLINK limited warranty (typically 1–3 years, depending on region and configuration).
- Covers manufacturing defects and hardware reliability under normal operating conditions.
Support & Services:
- Technical support available through ADLINK’s global service network.
- Online documentation, software updates, and driver downloads accessible via [www.adlinktech.com](https://www.adlinktech.com).
- Developer resources for OpenVINO™ integration and AI model optimization.
Maintenance:
- Minimal maintenance required due to solid‑state design.
- Periodic cleaning of optical surfaces recommended for optimal image quality.
- Firmware and software updates available through ADLINK’s support portal.
Product Lifecycle & Updates:
- Long‑term availability typical of ADLINK industrial products, ensuring continuity for OEM and system integrator applications.
- Regular firmware and software updates to maintain compatibility with evolving AI frameworks and operating systems.
### Summary
The ADLINK NEON‑i2000 series is a robust, industrial‑grade AI camera family engineered for edge computing environments. By integrating an Intel® Atom® x5‑E3930 processor with an Intel® Movidius™ Myriad™ X VPU, it delivers high‑performance deep learning inference directly on the device. The series offers multiple sensor configurations—ranging from 1.2 MP to 5 MP—with both global and rolling shutter options, catering to diverse imaging requirements.
Comprehensive I/O connectivity (4× digital inputs, 4× digital outputs, COM, LAN, and USB Type‑C) and expandable storage via Micro SD make it adaptable to a wide range of industrial automation and machine vision applications. Compatibility with Ubuntu and OpenVINO™ ensures seamless integration into AI development workflows.
With its compact design, flexible mounting options, and industrial reliability, the NEON‑i2000 series provides a complete edge AI vision solution for manufacturers, system integrators, and developers seeking to deploy intelligent vision systems in real‑world industrial environments.
Manufacturer: ADLINK Technology, Inc.
Website: [www.adlinktech.com](https://www.adlinktech.com)
Product Family: NEON‑i2000 Series – Intel® Movidius™ Myriad™ X‑based Industrial AI Cameras
Models: NEON‑i201B, NEON‑i202B, NEON‑i203B, NEON‑i204B
Last Updated: December 31, 2019
All specifications subject to change without notice.
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NEON-i2000-datasheet-20191231.pdf
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