A 5 day workshop is being conducted with a focus on harnessing the power of computer vision on the edge. Application of computer vision research on real world scenarios has improved the performances of systems by leaps and bounds. These applications belong to a wide range of areas from security to health, from sports to agriculture, from entertainment to education and the list goes on.
We can tackle real world computer vision problems from edge computing using edge devices like smart phones or AI-enabled. This workshop is being conducted on an AI-enabled camera kit called OpenCV AI Kit with depth (OAK-D). The participants will be able to use OAK-D and deploy computer vision models on them. OAK-D is a spatial AI powerhouse, capable of simultaneously running advanced neural networks while providing depth from two stereo cameras and color information from a single 4K camera in the center.
This training program would enable the participants to manipulate state of the art computer vision models for dynamic challenges and use this technology to improve conditions for human sustainability.
We aim to empower participants to understand and deploy computer vision concepts and techniques.
Students or professionals that have an interest in Computer Vision (CV).
A basic understanding of coding and AI is encouraged.
Knowledge of python and computer vision libraries like scikit-learn, tensorflow, keras, opencv, etc would be a plus.
After the workshop participants would have an understanding of computer vision concepts and state of the art algorithms. They would also have developed the skills to deploy models on OAK-D.
The workshop will be conducted by researchers actively working in the field of computer vision and its applications in different real world scenarios. The concerned trainers are
[TEAM_B id=49735]| Dates (Time: 10 am – 4 pm) | Topics |
|---|---|
| August 23, 2021 | Introduction to Computer Vision Introduction to OAK-D |
| August 24, 2021 | Introduction to Deep Learning Deep learning model building Hands on: Deployment of deep learning models on Google Colab/PyCharm |
| August 25, 2021 | Deep learning model architectures -You Only Look Once (YOLO) -Faster-RCNN -Single Shot Detector (SSD) -Transfer Learning Hands on: Deployment of deep learning models on OAK-D |
| August 26, 2021 | APPLICATIONS: COVID-19 SOPs supervision (Mask detection and social distancing Detector) Object Detection & Object detection with depth Person Identification Security: License plate detector |
| August 27, 2021 | APPLICATIONS: Hand pose estimation American sign language (ASL) Edge detection Emotion recognition Activity recognition by pose estimation Medical supervision through fall detection Explainable AI |
Apply using the google form provided at this link.