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. 

Aims & Objectives

We aim to empower participants to understand and deploy computer vision concepts and techniques. 

  • Introduction to state of the art computer vision algorithms
  • Running models on popular python IDEs
  • Introduction to state of the art AI enabled camera (i.e: OAK-D)
  • Model deployment on OAK-D

Target Audiences

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.

Expected Outcome

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.

Training Resourcses

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]

Program Schedule

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)
-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

How to Apply

Apply using the google form provided at this link