This app expands on the realtime_object_detector starter app to build a simple security camera app that takes a picture of each new person who enters the frame. The full tutorial can be found on the alwaysAI blog.
Once the alwaysAI tools are installed on your development machine (or edge device if developing directly on it) you can install and run the app with the following CLI commands:
To perform initial configuration of the app:
aai app configure
To prepare the runtime environment and install app dependencies:
aai app install
To start the app:
aai app start
Images will be saved in the app directory with a person detection index and the
timestamp. The timezone is set in the Dockerfile and may need to be changed
based on your location.
Once started, a link will appear for the Streamer which displays the camera feed and detections in your browser:
Loaded model:
alwaysai/mobilenet_ssd
Engine: Engine.DNN
Accelerator: Accelerator.GPU
Labels:
['background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']
[INFO] Streamer started at http://localhost:5000