Making accurate object detection at the edge: review and new approach

Keyphrases

• Object Detection 100%
• Edge Computing Device 100%
• Convolutional Neural Network Model 66%
• Raspberry Pi 3B+ 66%
• Memory Resource 33%
• Machine Learning Techniques 33%
• Computing Resources 33%
• Detection System 33%
• Memory Access 33%
• User Tasks 33%
• Convolutional Neural Network 33%
• Internet Information 33%
• Detection Task 33%
• Object Classification 33%
• Traditional Machine Learning 33%
• Privacy Leakage 33%
• Input Size 33%
• Personal Privacy 33%
• Limited Computing Resources 33%
• Real-time Requirements 33%
• Network Edge 33%
• Processing Task 33%
• Limited Memory 33%
• Reduced Inputs 33%
• Efficient Convolutional Neural Network 33%
• Object Detection System 33%
• Facial Expression Detection 33%
• Server-overloading 33%
• Object Positioning 33%

Computer Science

• Object Detection 100%
• Edge Computing 75%
• Computing Device 75%
• Convolutional Neural Network 75%
• Neural Network Model 50%
• Computing Resource 50%
• Raspberry Pi 50%
• Memory Resource 25%
• Internet of Things 25%
• Machine Learning 25%
• Memory Access 25%
• Facial Expression 25%
• Time Requirement 25%
• Privacy Leakage 25%
• Personal Privacy 25%
• Processing Task 25%