INDUSTRY EXPERT TALK SERIES ON “OBJECT DETECTION AND FACE RECOGNITION TECHNIQUES” , KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

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UG Courses

Offline (Outside the campus)
INDUSTRY EXPERT TALK SERIES ON “OBJECT DETECTION AND FACE RECOGNITION TECHNIQUES”
Expert Talk Dept. Level
DATE
Apr 12, 2024 to Apr 26, 2024
TIME
02:00 PM to 04:00 PM
DEPARTMENT
Artificial Intelligenceand Machine Learning
TOTAL PARTICIPATES
60
Outcome

Attendees gained insights into the latest advancements in object detection and face recognition technologies, including algorithms such as YOLO (You Only Look Once), SSD (Single Shot MultiBox Detector), and various convolutional neural network (CNN) architectures.

Summary

The Industry Expert Talk Series on 'Object Detection and Face Recognition Techniques' was a highly anticipated event, attracting professionals, researchers, and students from various fields related to computer vision and artificial intelligence. The event aimed to shed light on the latest advancements in object detection and face recognition, providing a platform for knowledge exchange and networking.

Key Points:

  • Overview of object detection algorithms like YOLO, SSD, and Faster R-CNN.

  • Comparison of traditional vs. deep learning approaches.

  • Case studies in security surveillance and autonomous vehicles.

  • Detailed exploration of face recognition techniques, including CNNs and transfer learning.

  • Challenges and solutions in large-scale face recognition.

  • Applications in security, retail, and personalized user experiences.

  • Practical demonstrations of object detection using popular frameworks like TensorFlow and PyTorch.

  • Interactive coding sessions for building and deploying face recognition models.

  • Ethical implications of surveillance and data privacy.

  • Regulatory considerations and responsible AI development.

  • The event provided ample opportunities for networking, with dedicated sessions for participants to connect with industry experts and peers. These interactions are expected to lead to future collaborations and research partnerships.


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