Thus far, the team has completed its design: PCB design is coming to an end with final routings in progress, the system architecture and implementation milestones are in place corresponding to defined functional requirements, algorithms for occupancy detection are under analysis, roles and responsibilities have been assigned and agreed upon, and major components have been delivered. Team vision and goals have been communicated to course faculty and staff.
Completed the schematic for the PCB and working on the routing currently. The hope is to send it out by saturday. Researched into the drivers for the lepton using the raspberry pi.
Researched several density estimation algorithms and their implementations in order to figure out highly concentrated areas within an image. There are three we are deciding on implementing but we will probably do the Gaussian Mixture Model. Finished system requirements for the group’s design document. Research into Flir Lepton libraries that interface with the Raspberry Pi.
Organized and coordinated Gantt chart. Created system block diagram. Performed component power analysis across polling intervals and over system duty-cycle. Investigated Raspberry Pi-Lepton prototyping procedure in order to upload test-Lepton data to cloud infrastructure. Researched potential options for AWS support on ESP32.
Prototype a RPi-Lepton system to capture IR data. Set-up and configure AWS infrastructure to house test IR data and prove cloud functionality. Decide on density estimation algorithm for this use-case. Complete PCB design and send for fab. Run FreeRTOS on ESP32.