This chapter discusses several applications of Raspberry Pi-embedded system design including fouling detection system, multi-hop microprocessor-based prototype system for remote vibration and image monitoring, and face recognition system.

Chapter Contents:

• 7.1 Fouling detection system
• 7.1.1 System design and architecture
• 7.1.1.1 First-boot procedures
• 7.1.1.2 Installing Raspberry Pi cam
• 7.1.1.3 Setting up Wi-Fi to enable remote control for Raspberry Pi
• 7.1.1.4 Remotely copy files to and from Raspberry Pi
• 7.1.1.5 Remotely controlling Raspberry Pi terminal
• 7.1.1.6 Set up database and PHP webpage
• 7.1.1.7 Installing MySQL and Easyphp and PhpMyAdmin on computer
• 7.1.1.8 Installing MySQL on Raspberry Pi
• 7.1.1.9 Creation of database
• 7.1.1.10 PHP template for uploading images to the database
• 7.1.1.11 OpenCV
• 7.1.2 Programming and system implementation
• 7.1.2.1 Haar cascade object recognition
• 7.1.2.2 Merging the vector files and training the cascade
• 7.1.2.3 Artificial neural networks identification
• 7.1.3 Testing
• 7.2 Multi-hop microprocessor-based prototype system for remote vibration and image monitoring
• 7.2.1 System design and architecture
• 7.2.2 Programming and system implementation
• 7.2.3 Testing
• 7.3 Face recognition system
• 7.3.1 System design and architecture
• 7.3.2 Programming and system implementation
• 7.3.3 GUI using PyQt
• 7.3.4 Testing
• References

Inspec keywords: microprocessor chips; face recognition; embedded systems; vibration measurement

Other keywords: face recognition system; Raspberry Pi-embedded system design; multihop microprocessor; fouling detection system; remote vibration monitoring; image monitoring

Subjects: Microprocessor chips; Computer vision and image processing techniques; Mechanical variables measurement; Microprocessors and microcomputers; Image recognition