Firia Labs: CodeAIR

Learn Python and AI Fundamentals

CodeAIR is an incredibly capable flying robotics platform coupled with an easy-to-use Python coding environment in CodeSpace.

Our Fly with Python curriculum begins with students writing their first lines of Python code to light CodeAIR’s LEDs. From there, engaging projects (Missions) lead them step-by-step into the world of autonomous drone flight.

Open Hardware Design

CodeAIR is a great introduction to the electronics and software technologies that enable stable quadcopter flight.

Learn more about what’s behind this innovative drone design in our blog post: The Birth of an Autonomous Drone

Camera and Machine Learning

How’s your Python code going to make sense of the camera data? How about a neural network? CodeAIR’s onboard AI Accelerator runs TensorFlow Lite, an industry standard machine learning engine.

• High-performance micro drone – safe, but incredibly powerful and capable!
• Onboard camera and AI engine lets your code “see” the environment.
• Learn the fundamentals of AI with neural network models you can hold in your hand!
• With the projects, academic rigor, and authenticity you expect from Firia Labs!
• Built for Python, on the foundation of Firia Labs’ CodeBot and CodeX robotics.
• Integrated with CodeSpace – the only drone with a dedicated STEM Learning Platform.

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Specifications

• Weight: 55g
• Size (WxHxD): 130x130x35mm
• USB-C programming / onboard LiPo charger
• Dedicated multi-core application CPU / AI accelerator
• Camera – color CMOS UXGA (1632×1232) image sensor (OV2640)
• 3 axis accelerometer / gyroscope (BMI088)
• High precision barometric altimeter (BMP390)
• 3 axis magnetometer (QMC5883)
• Up / Down / Front laser range sensors (VL53L1CX)
• Optical ground-tracking flow sensor (PMW3901)
• Hardware expansion port: QWIIC