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Computer Vision Architect

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Exp: 15 - 25 years

CTC: 70 - 80 LPA

Qualifications b.tech, phd


Should have done deep research in computer vision


• Experience with object detection, tracking, classification, recognition, scene understanding, recognition, scene understanding, facial expression analysis

• Sound background in one or more of Computer Vision like Scene Understanding, Recognition (Face, Iris, Finger, Gesture) 

• Strong understanding of Machine Learning techniques 

• Programming in C / C++ Usage of Mat lab, Open CV toolkits. Experience on embedded / mobile platforms and real-time implementation of complex algorithms

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