Product Features
An AI-brain processor designed for real-time image recognition
Support for neural networks with object detection and facial recognition
High-speed camera input interfaces (MIPI/CSI)
Hardware acceleration for AI inference on board
Edge computing with low power consumption
Supports TensorFlow Lite, ONNX, PyTorch models
Optional support for HDMI, USB, Ethernet, Wi-Fi modules
Product Advantages
Provides fast, accurate visual processing at the edge
Elimination of cloud bandwidth & latency via local inference
Compact, modular design that can be integrated into existing systems.
Performance range from entry-level to industrial-grade AI SoCs.
Suitable for smart cameras, robotics, industrial vision, and security.
Production-friendly with long-term supply availability.
Manufacturing Process
High density PCB AI Vision Processing Module with multilayer impedance control
Precision SMT with BGA/QFN placement
Reliability assurance includes AOI, X-ray, and functional test
Thermal management solution (Heatsinks/pads optional)
IPC-A-610 Class II/III compliant assembly
RoHS & REACH compliant production lines
Services
Purpose-built hardware design based on client vision application AI Vision Processing Module
Pre-embedded AI models or firmware support
Prototype-through-mass production support
SDK, documentation, and technical support
ODM/OEM service with full IP protection
Certification support (CE, FCC, RoHS, etc.)
Product Qualification
FAQ
Q1: What AI models can be used?
A1: TensorFlow Lite, Pytorch, ONNX, and custom-trained models AI Vision Processing Module.
Q2: Can you do camera modules as a pair?
A2: Yes, we can do a full kit with camera, lens, and cable options.
Q3: How much power do you usually consume?
A3: Approx 2–5W depending on the chipset and workload.
Q4: Do you provide development guidance?
A4: Yes, from the SDK, API, and integrations.
Q5: What's the lead time?
A5: 7-10 days for prototype, 3-4 weeks for volume.
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