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Realtime AI Person Detection on Edge Devices
0
Real-time AI Person Detection on Edge Devices: Getting Started
This is the first in an article series where we’ll show you how to detect people in real time (or near-real time) on Raspberry Pi.
Added 6 Oct 2020
1
Real-time AI Person Detection on Edge Devices: Selecting Deep Learning Models
In this article, we’ll discuss the pros and cons of the existing DNN approaches and select a pre-trained model for further experimentation.
Added 6 Oct 2020
2
Real-time AI Person Detection on Edge Devices: Detecting Persons Using Pre-trained SSD Models
In this article, we’ll showcase the Python code for launching these models and detect humans in images.
Added 7 Oct 2020
3
Real-time AI Person Detection on Edge Devices: Launching SSD on Raspberry Pi
In this article, we’ll see how you can install Python-OpenCV on the device and run the code.
Added 8 Oct 2020
4
Real-time AI Person Detection on Edge Devices: Testing SSD Models on Raspberry Pi
In this article, we’ll test the accuracy and the performance of the MibileNet and SqueezeNet models on the Raspberry Pi device.
Added 9 Oct 2020
5
Real-time AI Person Detection on Edge Devices: Detecting Persons on Video
In this article we’ll develop Python code for person detection in a video stream.
Added 13 Oct 2020
6
Real-time AI Person Detection on Edge Devices: Detecting Persons on Video in Real-time Mode
In this article, we’ll modify the code for real-time processing on an edge device.
Added 14 Oct 2020
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