A five days workshop on “Edge Computing for Computer Vision” is being conducted with a focus on harnessing the power of computer vision on the edge. We can tackle real world computer vision problems from edge computing using edge devices like Raspberry Pi, NVIDIA Jetson Nano, OpenCV AI Kit e.t.c. 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.
After the workshop participants would have understanding of:
Students or Professionals that have:
An international workshop, where the speakers are renowned researchers in the domain from NUST, Harvard USA, TUM Germany, Abu Dhabi UAE
Time/Date | August 23, 2021 | August 24, 2021 | August 25, 2021 | August 26, 2021 | August 27, 2021 |
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10am – 1pm |
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| AI models for Object Detection in Remote Sensing and Agriculture (By: Dr M Shahzad) | Object Tracking Killer Trackers for Video Surveillance ( By: Dr Sajid Javid) | AI Breakthrough in Computational Pathology : An enabler in personalized cancer treatment (By: Dr Shaban) |
2pm – 4pm |
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| Model Deployment on OAK-D
| Model Deployment on OAK-D
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Join our course and start building the most wanted career available today. We make sure every class is easily understood, and that all students reach the same level of expertise needed for today’s hi-tech industry.
Completion Certificate will be provided by the NUST SEECS to all the workshop attendees.
SEECS NUST, H-12 Islamabad
Phone: (051)-9085 2171
Email: vision@seecs.edu.pk
The instructors have good communication skills and the good thing is that they are taking everybody with them. If someone got stuck at the task, they wait for them. The lab environment is not boring, the instructors are not just bombarding us with instructions. The instructors are friendly and I think this is the best thing for a healthy learning environment.
Machine Vision and Intelligent Systems Lab | NUST-SEECS | © 2024