Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Embml | 13 | a year ago | 4 | October 20, 2021 | gpl-3.0 | Python | ||||
A tool to support using classification models in low-power and microcontroller-based embedded systems. | ||||||||||
Animal Sounds Embedded Classifier | 9 | 2 years ago | 2 | Python | ||||||
Area : Combination of machine learning and embedded hardware design Tools used: Raspberry Pi, Microphone, numpy, Scipy, Wi-fi Module We (team of 4) developed a prototype of a embedded application which could be fitted on a safari vehicle. When the safari goes in the jungle for a ride, if it detects sound, it takes a short sample and tries to classify it according to a pre-trained prediction model. The machine learning algorithm used was random forest. We were successfully able to train the model on lion , tiger, peocock, wolf , elephant and several more such wild animals. The sound samples were obtained from several animal sound repositories. The model achieved an accuracy of around 87% on the test data surmounting problems like noise in sound files, lack of extensive training examples. We also used a Wi-fi module so that information about the animal detected can be broadcast to the tourists' mobile devices. | ||||||||||
Ecst | 5 | 6 years ago | apache-2.0 | Java | ||||||
Embedded Classification Software Toolbox |