MATLAB and Simulink for Embedded Vision

Targeting CPUs

Use MATLAB Coder to generate C and C++ code for vision algorithms developed in MATLAB. Integrate optimized libraries such as the ARM^® Compute Library for ARM architectures and MKL-DNN library for Intel^® CPUs.

Targeting GPUs

Use GPU Coder to achieve optimized generation of CUDA code from MATLAB that can be used for prototyping on GPU-based hardware platforms including NVIDIA^® Jetson™ and DRIVE™.

Targeting FPGAs and ASICs

Use HDL Coder to generate Verilog and VHDL code from vision algorithms that you design using Simulink and Vision HDL Toolbox for FPGA- and ASIC-based platforms.

Testing and Verification

Perform rapid prototyping, processor-in-the-loop (PIL) simulations, and hardware-in-the-loop (HIL) simulations with HDL Verifier, Simulink Real-Time, Embedded Coder, and Simulink Desktop Real-Time to efficiently test and verify your generated code.

Connecting to Embedded Hardware and Deploying

Choose from a variety of hardware support packages for popular embedded hardware to jumpstart receiving and sending real-world data between MATLAB and Simulink, and automatically generate executables from your algorithms to run on embedded hardware platforms.

Automated Driving

Continental uses MATLAB to: automate learning different traffic sign types, access databases, generate synthetic sign samples, generate code, and monitor and evaluate classifier training using interactive apps.

Robotics

Clearpath Robotics engineers use MATLAB to prototype algorithms and to analyze and visualize data for industrial robotics research and development.

Medical Imaging

Infraredx uses MATLAB and Simulink to accelerate FPGA development for intravascular imaging systems.