Research of object recognition using neural network Inception-v3 model operating on Raspberry Pi B3+
Keyword(s):
Image Classification is the most important problem in the field of computer vision. It is very simple and has many practical applications, the image classifier is responsible for assigning a label to the input image from a fixed category group. This article has applied image classification to identify objects by giving the image of the object to be identified, then labeling the image and announcing the label name (object name) through the audio channel. The classification is based on the neural network Inception-v3 model that has been trained on Tensorflow and used Raspberian operating system running on the Raspberry Pi 3 B+ to create a device capable of recognizing objects which compact size and convenient to apply in many fields.
2020 ◽
Vol 23
(6)
◽
pp. 1172-1191
2021 ◽
Vol 8
(3)
◽
pp. 15-27
Keyword(s):
2021 ◽
Keyword(s):
2021 ◽
Vol 9
(8)
◽
pp. 1573-1582