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Getting Started with NODAR
Simple steps to evaluate, buy, and integrate our Hammerhead technology.
NODAR SDK
Install NODAR software and connect Hammerhead to your cameras.
NODAR HDK+Reference Design
Complete ready-to-use NODAR wide-baseline stereo system.
NODAR Cloud
Send us your image datasets, and we’ll handle the processing.
Every customer is on a journey to build something amazing. Depending on your goals, we offer multiple paths to success to accelerate your implementation and delivery.
Your Goal: Replace a LiDAR Sensor
Best for teams needing real-time perception and hardware integration.
Essential Background
Before diving in, familiarize yourself with our core technology and hardware capabilities:
Implementation Options
Select the level of integration that fits your timeline and resources.
I need to convince management and stakeholders that seeing is believing.
Download and display our public datasets to visualize the quality of our point clouds.
I need a full safety-rated autonomous product with stereo vision.
Your organization owns the BOM, we provide the reference design, support product certification, and license software.
I need a turn-key solution to replace LiDAR quickly.
Get up and running immediately with our Hardware Development Kit (HDK).
I want to build my own stereo camera setup.
If you have the hardware expertise and time, integrate our software into your custom rig with out Software Development Kit (SDK).
I want to evaluate NODAR using my existing cameras.
We can process your data, compare it to your existing LiDAR, and deliver a comprehensive analysis report.
I need C++ libraries optimized for my system.
Our engineering team can provide highly optimized, hardware-accelerated binaries tailored to your specific compute architecture (e.g., ARM, NVIDIA Jetson, or custom x86 configurations).
I need on-site integration support.
For autonomous systems requiring deep integration, our team can fly to your site to assist.
Your Goal: Train or validate NNs/AV algorithms
Best for teams focused on neural network training, validation, and testing AV algorithms.