How to integrate 3D LiDAR perception into your product without building it from scratch
- 8 hours ago
- 1 min read
Example of intelligent safety zones around a machine
Most OEM manufacturers who add 3D LiDAR to a product face the same bottleneck: the sensor hardware is straightforward to source, but the perception software layer is not. Processing raw point cloud data, classifying objects, managing multiple sensors, and exposing structured outputs to the rest of the system requires significant engineering investment — and it is rarely the core competency of a machine builder or system developer.
Flasheye solves this by providing the perception layer as a ready-made, modular software toolkit. You connect your sensor, configure the modules you need (zoning, tracking, classification, measurement), and connect the outputs to your host system over standard protocols. No model training, no custom algorithms, no starting from scratch.
To make the integration process concrete, we have put together a step-by-step guide for engineering and product teams evaluating or implementing Flasheye in a product. It covers use case definition, sensor connection, software configuration, performance validation, and production rollout. Each step includes a practical checklist.
The guide is written for machine builders, sensor manufacturers, and system developers who want a clear path from first evaluation to a product ready for deployment.
Download the playbook:
