A RedEye camera is a Video Streamer software that can be controlled via an API, save video images and snapshots locally or in the cloud.
What Makes RedEye so Smart
Computer Vision with OpenCV
Also, Redeye can run video streams or single images through Computer Vision AI filters written the OpenCV(http://opencv.org).
Computer Vision algorithms, however complex can be written as a plugin and dynamically switched at runtime.
Robotics with GPIO
If that ain’t enough RedEye also has access to it’s hosts GPIO library, if available. For example, RedEye loves to control motors and robot arms when running on a Rasberry Pi or NVidia Jetson Nano. !
IIoT with API
RedEye was built with MQTT support at it’s core, along with it’s RPC style API RedEye camera’s can be integrated into one heck of a diverse range of applications!
It will be nice to show some here.
Streaming Video
RedEye uses OpenCV to handle all the crazy details of opening and initialization the computers variety of camera types in a single intuitive interface. We will stick with that, no need to mess it up.
Camera Commands (API)
The Camera Server API supports the following commands:
- Config: get and set configurations
- Play: start streaming video (open)
- Pause: stop streaming video
- Snap: save a snapshot to storage
- Record: save a video stream to storage
- Filter: get and change the CV filter(s)
- Store: get and set storage location(s) and creds
- MQTT: broker and credentials
Run
Where Can be done with Images and Video?
Images and videos can go a lot of places! Including, but not limited to the following:
- Display on local screen
- Serve video and images up over HTTP/HTML5
- Save video and images on the Local Filesystem
- Save video and images on a Remote (Cloud) Filesystem
The location(s) of video and images can be setup before hand. Dropbox, AWS, Flicker, Unsplash or Youtube. If you have a favorite respository for your photos or video configure the storage box ahead of time with appropriate access keys and what not, from that point on your can be safe knowing your images and videos are safely stored where ever you want them.
About the Camera Software
RedEye is really more of a Service Oriented Architecture (SOA) than an application really.
The RedEye Camera software streams video over IP through configurable Computer Vision Pipelines with example pipelines that include:
- Face Detection
- Motion Detection
- Object Tracking
Pipelines can be built as plugins and added directly to the camera with runtime configuration. This allows you to add your own Computer Vision application(s) without worrying too much about the software that controls the camera.
Camera APIs
The Camera provides APIs for camera control, configuration and storage. These APIs give you complete control over the cameras functionality. Most of this functionality can be had through the built in webapp, or any other communication mechanism you choose.
The camera design is API first which means that all of the cameras functionality is exposed through the same libraries the camera operates from, giving you a tremendous amount of flexibility to integrate cameras into your application.
Control, Configuration and Storage
The APIs collectively provide control over the cameras play, pause and snap controls, a myriad of configurations including resolution, Frames Per Second, Color and a ton more.
The storage interface provides very flexible options when it comes to where and how to store video clips and snapshots..
Supported Protocols
All APIs can be accessed in one or more of the following ways:
- Built Reactive Webapp
- REST API
- MQTT Messaging
- Websockets
If you have any questions, find a bug or would like to use this software, please drop me a line, or fill out an issue.