Skip to content

Latest commit

 

History

History
13 lines (11 loc) · 879 Bytes

File metadata and controls

13 lines (11 loc) · 879 Bytes

object-detection-using-R_CNN

The project is based on object detecion using the TENSORFLOW library ,OPENCV used for the detection of the various objects by the pretrained models.The process on the neural network is enhanced and imporved using the CLUSTERING thechnique thus it can analyze and detect the objects with high rate and high accuracy * Latency is improved * Image stablization is improved * made the algorith work with MULTIPLE CAMERA'S on live stream

The project is planned to use on the multiple applications and streams

* using the algorithm in #AUTOMATIC TOLL BOOTH by combining the both #RFID and #DEEP LEARNING for the automatic toll both ticket             collection
* Automatic ATTENDANCE marking system on classroom
* image surfing

last recorded output:

https://drive.google.com/open?id=1aA7Iw5yOWrQSex6X2yyfuC4iE-WeNOdn