QL-C01

AI Intelligent Processing Core Board

Edge Computing Algorithm
Algorithm deployment based on the edge computing platform does not require cloud server processing and can efficiently process real-time data offline to reduce latency.
High-speed, Multiple Targets
Perfect for applications in surveillance, autonomous vehicles, and smart inspection systems, it brings powerful AI to the edge—where speed, precision, and reliability matter most.

The QL-C01 is a cutting-edge AI processing core board developed by Airvisen, designed to deliver high-performance computing in a compact, energy-efficient, and cost-effective package. Engineered for seamless integration into a wide range of optical and imaging systems, this board is the ideal solution for applications requiring advanced image analysis and real-time AI capabilities.

Key Highlights

Compact & Lightweight

Measuring just 38×38×15mm and weighing only 20g, the QL-C01 fits effortlessly into drones, vehicle-mounted systems, surveillance setups, and industrial inspection devices.

High Performance, Low Power

Powered by the VS839 SoC with a quad-core ARM Cortex-A55 CPU, dual-core CEVAXM6 DSP, and a 4TOPS INT8 NPU, it delivers robust AI processing at just 3W typical power consumption.

Advanced AI Algorithms

Supports infrared and visible light image denoising, enhancement, super-resolution (up to 4×), and intelligent detection and tracking of pedestrians and vehicles.

Versatile Connectivity

Offers multiple input/output options including UVC, MIPI, HDMI, LVDS, BT656, and Ethernet. Control interfaces include GPIO, serial port, and Ethernet.

Flexible Storage

Compatible with TF cards and NVMe SSDs for local data storage.

Edge Computing Advantage

Operates independently of cloud servers, enabling fast, offline processing with minimal latency—ideal for time-sensitive and bandwidth-constrained environments.

Technical Excellence

Feature Specification
CPU Quad-core ARM Cortex-A55 @ 1.3GHz
DSP Dual-core CEVAXM6 @ 800MHz
NPU 4TOPS @ INT8
Input Resolution 4K (3840×2160p)
Detection Targets Human / Vehicle
Max Detection Size 2000×2000 pixels
Min Detection Size 156×56 pixels
Tracking Frame Rate >100fps
Max Tracking Distance >400m (horizontal), >200m (vertical)
Operating Temperature -40°C to +85°C

Application Scenarios

Drones

Real-time object detection and tracking for aerial surveillance.

Automotive Night Vision

Enhanced visibility and safety in low-light conditions.

Security Monitoring

Intelligent threat detection and tracking in surveillance systems.

Industrial Inspection

High-resolution image analysis for defect detection and quality control.

The QL-C01 isn’t just a processing board—it’s a compact AI powerhouse built for the future of intelligent vision systems. If you're building next-gen imaging solutions, this board deserves a spot at the core.