Pervasive Artificial Intelligence Research (PAIR) Labs

Drones and Computer Vision

Pervasive Artificial Intelligence Research (PAIR) Labs

Drones and Computer Vision

NCTU – Professor Jun-Wei Hsieh

Co-principal investigator: Jun-Wei Hsieh

Research :

An Intelligent Partner for visually impaired people
(Co-PI: Mu-Chun Su)

Core Technologies

Our team independently develops a Lightweight, Extremely Small-Object AI detection system. Usually, the AI detection system requires high-level computing hardware; however, in our way, we don’t need a central system or a server to run our program. Furthermore, our users can get all the results on the app at the same time as system detecting.

Applications

Estimates of agricultural production, Defense security, People Flow calculation, Transportation Evaluation

Technology Transfer

1. Extremely small object detection on UAV (A)
2 Multi-object tracking system (B)
3. Big Data Analysis (C)

Technologies with Potential for Technology Transfer or Industry-Academia Collaboration

1. Use techniques A and B to estimate crowd flow, candidate momentum, and several amusement park estimates.
2 Use techniques A and B to determine traffic flow and convert traffic signals.
3. Use technologies A and B to perform defense security tasks.
4. Use Techniques A and C to Predict Agricultural Market Prices

Proposal for Industry-Academia Collaboration

Use Technology A to apply to smart cities and technology enforcement