Frequently Asked Questions (FAQs)

We are a software company. We do not sell cameras or edge devices but have partners who can assist you in procuring hardware.

To learn more about supported video streams please visit Read Me

We do not assist with the installation of cameras or edge devices, but we do offer technical support for setup and use via email, Slack, and Zoom.

The architecture of the Lanthorn can be split into 2 components: Lanthorn processor & dashboard.

Lanthorn Processor - Lanthorn can run on Linux OS on the cloud or edge devices (on-premise Graphic Processing Unit - GPU). The processor (GPU) is the unit responsible for video processing. See processor performance for detailed information.

Lanthorn Dashboard - A web application that helps you to set up your cameras and processor. The dashboard also visualizes and analyzes the results generated by the processor.

Edge computing takes place on an edge device, which is a piece of hardware typically located on premise. Edge computing is used to process time-sensitive data, while cloud computing is used to process data that is not time-driven. Edge computing also keeps all data on premise and in your hands, while cloud computing can risk exposing your data.

Lanthorn’s computer vision engine can detect people and count them to provide data on occupancy. It can also detect objects including fask masks and conduct pose estimation to detect details such as social distancing. For more information on how the data generated by Lanthorn can be used, visit Use Cases

None of your data will leave your servers unless you choose to export it. Since the processor can be deployed on lightweight edge devices,you do not need to expose any of your camera streams outside of your local network (LAN); you only need to include the device inside the network. This configuration guarantees that the processing of the information stays inside of your private network; without transmitting anything to the cloud. For more information, please see: Privacy & Security whitepaper

The way that a dashboard (and any other third-party application) interacts with the processor is through API endpoints (documented here). You don’t need to expose these endpoints outside your network, as the browser interacts directly with the processor. If you try to log in into the dashboard outside the network, you will receive the following error:

We are aware that the processed videos probably contain sensitive information; such as the identity of the people recorded. Taking into account that the input of Lanthorn is videos, maintaining them inside the network is important to keep the privacy of the people recorded. The process doesn’t require face recognition to accurately detect occupancy. In addition, all the data generated and stored is also anonymized to respect personal privacy; storing only statistical information, such as the number of people.

We do not use facial recognition. The model detects that a person is standing because it detects a “person-like object” (not necessarily a silhouette).

All communications between Lanthorn’s dashboard and processor(s) are encrypted.

Lanthorn’s occupancy computer vision engine is open source; however, our API engine and dashboard are not.

The Lanthorn dashboard is customizable and can be white-labeled for customers who prefer to have their own branding. New metrics and visualizations can also be added depending on the customer’s needs and requirements. Moreover, new computer vision models (other types of detections) can also be added to our application. Custom computer Vision model development needs data and time for training and accuracy improvement.

This sheet will serve as a guide on how different devices and models perform.

We charge per camera stream. Please visit lanthorn.ai/pricing for specific pricing.

Please visit Read Me