Cygbot's 2D/3D Dual Solid-State ToF LiDAR helps translate the 3D world into a 2D image and a 3D object using precisely measured depth data. This budget-friendly LiDAR unit operates without any moving parts making it much more durable in harsh operating environments. The CygLiDAR D1 is perfect when used in applications like security, industrial automation, drones, and more.
At an astounding 28 grams and a 37x37x24mm size, the Cygbot CygLiDAR D1 is well suited for most space or weight conscious use cases. Its 2D detection range operates up to eight meters and its 3D detection range maxes out at two meters with 1% accuracy. The sensor's 120° field of view covers plenty of area for things like obstacle avoidance or area mapping.
Each CygLiDAR D1 includes a cable that makes for easy use with Windows PCs, but it can also be controlled by 3.3v UART capable devices. The CygLiDAR program for Windows makes for quick plug and play evaluation as well (check out the Documents tab above for more info).
If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.
Skill Level: Competent - The toolchain for programming is a bit more complex and will examples may not be explicitly provided for you. You will be required to have a fundamental knowledge of programming and be required to provide your own code. You may need to modify existing libraries or code to work with your specific hardware. Sensor and hardware interfaces will be SPI or I2C.
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If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.
Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
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Based on 2 ratings:
The product in itself is good and functioning well, but the supporting documentation has run into a bunch of problems when trying to run it through ROS using an Ubuntu subsystem.
My preliminary test with both my software and Cygbot's visualization software indicates that the 2D distance accuracy is terrible. In addition it creates "anomalies" that make objects appear to be connected when they are separated by two feet.