AI Smart Camera
| Cat | Products Name | Price |
|---|---|---|
| AIMRSE-RV-EVM-072 | Edge AI Smart Camera (Qualcomm QCM6490) | |
| AIMRSE-RV-EVM-073 | AI Deep Learning Vision Software | |
| AIMRSE-RV-EVM-074 | 3D Vision-Guided Robotics Software | |
| AIMRSE-RV-EVM-075 | Ultra-Compact AI Smart Camera (Red Light) | |
| AIMRSE-RV-EVM-076 | Mid-Range AI Smart Camera (Red Light) | |
| AIMRSE-RV-EVM-077 | Mid-Range AI Smart Camera (White Light) | |
| AIMRSE-RV-EVM-078 | Compact Color AI Smart Camera | |
| AIMRSE-RV-EVM-079 | Mid-Range Color AI Smart Camera | |
| AIMRSE-RV-EVM-080 | Compact Monochrome AI Smart Camera | |
| AIMRSE-RV-EVM-081 | High-Performance AI Smart Camera with Auto Focus |
Introduction
An AI Smart Camera is an all-in-one vision system that integrates high-resolution imaging, powerful embedded computing, and hardware-accelerated AI inference into a single industrial housing. Unlike standard cameras that require an external PC for analysis, an AI smart camera processes data "at the edge" using deep learning models. This eliminates transmission latency and reduces system complexity, making it the premier choice for complex defect classification, target recognition, and autonomous decision-making in high-speed production lines and intelligent robotic cells.
Working Principle
1. High-Speed Capture
The industrial CMOS sensor captures raw image data, which is instantly transferred to the internal processor via a dedicated high-bandwidth bus.
2. AI Inference
An onboard NPU (Neural Processing Unit) executes deep learning models (CNNs) in real-time to identify patterns, defects, or objects within the frame.
3. Data Analysis
The embedded system evaluates the AI results against user-defined logic, determining if the inspected part meets quality standards or requires action.
4. Logical Output
Instead of raw video, the camera outputs specific metadata or direct electrical signals (OK/NG) to PLCs or robotic controllers via industrial I/O.
Key Technical Specifications
-
Edge Computing Power
Equipped with specialized AI accelerators (NPU/TPU) providing ranging from 4 to 100+ TOPS of performance for running multiple complex neural networks simultaneously. -
Deep Learning Framework Support
Native compatibility with standard AI models exported from TensorFlow, PyTorch, and ONNX, allowing for rapid deployment of custom-trained algorithms. -
Integrated Multi-Core CPU
Features embedded ARM or x86 processors that handle local database management, communication protocols, and complex logical decision-making. -
Low-Latency Industrial I/O
Onboard digital inputs and outputs with sub-millisecond response times for direct control of reject mechanisms and lighting triggers. -
Flexible Imaging Config
Supports varied sensor resolutions and shutter types (Global/Rolling), paired with C-mount or integrated liquid lenses for dynamic focusing. -
Robust Thermal Management
Fanless, ruggedized enclosures designed to dissipate heat from high-performance AI chips while maintaining an IP67 protection rating. -
Onboard Industrial Storage
Features high-speed eMMC or NVMe SSD storage to host embedded operating systems, deep learning models, and local logs of inspection results for offline analysis.
Connectivity & Protocols
Industrial Ethernet (PROFINET / EtherNet/IP)
Seamlessly communicates analysis results and metadata directly to factory-wide automation networks and PLC environments.
MQTT & Cloud Integration
Supports IoT protocols for sending statistical data, performance metrics, and sample "NG" images to cloud servers for centralized monitoring and model retraining.
Standard GbE & Wireless Options
Provides robust 24V inputs and outputs for direct hardware synchronization with sensors, conveyors, and robotic arm controllers.
Isolated Digital I/O
Reliable Gigabit Ethernet for high-speed data backbone, with optional Wi-Fi or 4G/5G modules for remote monitoring in edge deployments where physical cabling is restricted.
Typical Applications
Complex Defect Analysis
Using deep learning to classify subtle scratches, stains, or surface irregularities that traditional rule-based vision cannot detect.
Intelligent OCR/OCV
Reading distorted, low-contrast, or handwritten characters on challenging packaging materials with high reliability through neural networks.
Vision-Guided Robotics
Enabling robots to identify and pick randomly oriented, overlapping, or non-uniform objects in dynamic warehouse environments.
Selection Guide
Deploying intelligence at the edge requires a balance of imaging quality and computational capacity. At AIMRSE, we help you select the optimal AI smart camera platform based on your algorithmic demands:
- Computing Requirement: Match the NPU's TOPS (Tera Operations Per Second) to the complexity and depth of your neural network models.
- Latency Sensitivity: For high-speed lines (e.g., 600+ ppm), we utilize hardware-triggered AI pipelines to ensure decisions are made within microseconds.
- Software Environment: We offer a choice between open Linux platforms for custom C++/Python coding and "no-code" graphical AI training suites for rapid deployment.
- Optics & Lighting Integration: Evaluate if your application requires built-in LED illumination or liquid lens support for high-speed autofocus in dynamic production environments.
- Environment Factors: Selection of stainless steel or IP67 housings for food processing or harsh industrial environments where washdown is required.
Hardware & Reliability Standards
Our AI smart cameras are built for 24/7 reliability in demanding industrial infrastructure:
- Edge Processing: Dedicated NPU/TPU architecture for stable inference without OS jitter.
- Compliance: EMVA 1288 standardized imaging quality and full CE/FCC certification.
- Ruggedness: Shock and vibration resistance tested for mounting directly on high-vibration robotic arms.
AI Software & Training Support
We provide a full-stack ecosystem to streamline the development and deployment of your AI vision models:
- Unified AI Toolkits for model quantization and hardware optimization.
- Support for leading deep learning libraries including OpenVINO and TensorRT.
- Remote management tools for over-the-air (OTA) model updates and monitoring.
- Ready-to-use communication drivers for all major PLC brands.
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.
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