The social interaction cloud has many components available for you to speed up creating social interactions with the robot’s.
Service | Command | Source | Note |
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Dialogflow for creating conversational agents using google’s framework. This provides a flow chart like dialog management and speech recognition. |
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Face detection using OpenCV’s cascading classifier, which is very fast and can run on a laptop CPU |
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DNN Face detection using a YOLOv7 neural network for accurate detection, and detection of small faces. |
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DNN Face recognition using a resnet50 network to extract face embeddings and assign an id based on automatic clustering. |
| The cascade classifier file used in this example can be found here: haarcascade_frontalface_default.xml ): | |
OpenAI ChatGPT a text based large language model that provides a very capable dialog agent. Requires a credit card. |
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OpenAI Whisper a powerful speech to text model, capable of running both local and in the cloud. Cloud usage requires a credit card. Start and end recognition is performed using python’s https://pypi.org/project/SpeechRecognition/ |
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Google Text to speech using google cloud API. Requires a credit card. | |||
Templates for creating your own components |
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