Sky Hub is a group of like minded individuals that were tired of the lack of solid evidence about the UAP Phenomenon. With this lack of evidence, we felt that action had to be taken and we were tired of waiting.
Sky Hub is a team of engineers, scientists, and enthusiasts that all seek the same goal, and that goal is to take a scientific approach to the UAP Phenomenon.
We started Sky Hub to create a global 🌎 network of UAP trackers that would use sophisticated sensors and imaging equipment to gather data into a central repository that could be shared with the world.
Using cutting edge technology and algorithms our goal is to create a community of enthusiasts, researchers, scientists, and engineers to turn UFO research into a global movement. The only way to find answers is to work together and provide all of our software and instructions completely free of charge and under a liberal open source license.
See Also: Why we wanted a project like Sky Hub
The ultimate goal is to have a network of trackers worldwide with a digital UAP database that anyone can access and use under a Creative Commons License using our opensource software created by us and offered to the public under the MIT license.
In the following video an event was captured by one of our early test hubs in Houston, TX on May 27, 2020. The UAP appears just like an airliner until it stops and changes direction. The camera also easily picks up an airliner flying past at cruising altitude using it's night sensor as well as a helicopter and the moon.
This video was captured with a 12MP Dahua fisheye camera:
Image Sensor 1/1.7” Sony Starvis
Minimum illumination 0.001Lux/F2.0
12MP progressive scan CMOS
Effective pixels 4000(H)x3000(V)
Sky Hub supports a fully modern, public search for the data signatures of UAPs in our skies by developing open source software (under the MIT License) that drives a global network of machine-learning, smart cameras and sensor-arrays—designed by Sky Hub, and built by the individual participants.
Given the low-cost & the capability of today’s consumer grade technology, the rapid growth and evolution of machine-learning for streamlining the analysis of large data sets, the increasing affordability of AI-ready hardware, there has never been a better time to assemble a network of smart sensors to capture these objects’ digital signatures.
We are creating a crowd-sourced network of smart trackers that will each recognize with “Edge Processing” whether an anomalous event has occurred. Each tracker will automatically upload the anomalous data to the Sky Hub Cloud, where it will be recorded and kept in a publicly accessible database that Sky Hub will host.
Sky Hub has determined that this data - like all data concerning the public good - should be made and kept public and as such the digital database will be free to use under the Creative Commons License BY-NC-SA (Attribution - Non Commercial - Share Alike) which allows anyone to remix, adapt, and build upon Sky Hubs work non-commercially.
The tracker combines an embedded computer, sensors, and imaging equipment. We’d like to think that the tracker has a narrow scope, but there is a wide range of spectrums that can be observed to look for anomalies or signatures that are caused by UFOs and UAPs.
Sky Hub is an open source citizen science project, there is no product being sold. The trackers are built by members of the community following the guidance of the Sky Hub team, using Sky Hub's open source tracker software and off the shelf devices.
With the current specified hardware, a Sky Hub tracker would cost approximately $300-800 US to build. Your cost would vary based on where you purchase, sales, shipping, etc. The cost is highly dependent on the camera and sensors you chose to deploy with your tracker. See our base level hardware recommendations
A 12 MP Fisheye (e.g. Dahua IPC-EBW81242) is recommended as a starting camera currently but you could explore other options. The main requirement is that the camera is IP based and supports the RTSP protocol.
Working on the basis that the AI in our system needs at least 10px of an object for detection you can see from the following image that for a 4MP fisheye the camera can only detect a 100m sized object at a 5km max range, whereas a 12MP fisheye has a range of 10km.
The tracker Cloud is a cloud-based repository that connects the global network of trackers together. This platform will aggregate all video and sensor together in a single database
Currently the tracker consists of an embedded computer, camera, ssd, and gps.
However, the development team are currently working towards an number of goals to support the addition of a sensor array. See our System diagram.
You can login to your tracker user interface from a web broswer and open the video library
There are some constraints for a Sky Hub enclosure that require consideration.
One is the option to add a PTZ camera in the future, that will allow for distance and speed calculations and 40x zoomed videos! This feature requires a correct placement of both cameras. We provide details on how to make the build easy.
The other consideration is to have either all equipment in one single box, or to split into a camera array and a (or multiple) sensor array(s).
See also: Enclosure Guide
Here's a link where you can find a worldmap full of fablabs: https://fabfoundation.org/global-community/
Sky Hub will require a lot of cloud storage for hosting the event data we're studying. As this is a completely volunteer built effort, if you'd like to contribute on that front, we welcome donations via our Patreon.
See Supporting Sky Hub for more ways in which you can help our efforts.
The best way to propose features is to open a gitlab ticket and make a feature proposal via a new issue. Be prepared to provide detail on the idea, the what/why - have a look at existing items to see examples of proposed changes. If you want to discuss a hardware feature, head over to the hardware channel of our chat.
This can be calculated with the bounding box coordinates that are generated when tracking an object.Content is available under the Creat