Changes between Version 56 and Version 57 of Other/Summer/2023/Hive
- Timestamp:
- Aug 1, 2023, 4:29:36 PM (16 months ago)
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Other/Summer/2023/Hive
v56 v57 21 21 22 22 == **Progress**\\ 23 24 23 == **Week 1**\\ 25 24 **Project Goal**: The project's objective is to assess electromagnetic radio frequency (RF) impact on bees, particularly bee mortality, inspired by the lead epidemic's significance. It aims to examine how human-emitted RF affects bee populations and ecosystems. 26 25 27 **Apparatus Mockup**: 26 **Apparatus Mockup**: Designed a system with an apparatus connected to a bee hive. Glass tubes would be connected to a system of pipes, to see the bee motion. 28 27 29 **Machine Learning Analysis**: 28 **Machine Learning Analysis**: We will use artificial neural networks to classify videos using the pytorch libraries. The results will produce the accuracy of the bees detecting the magnetic field. 30 29 31 30 == **Week 2**\\ 32 31 **Experiment Design**: 33 32 34 **Apparatus Construction**: Modeled and figured out the correct sizing of it. The correct dimensions were found in order to cut and build the base. The glass tubes were cleaned and fixed. Lastly, a camera mount was established.33 **Apparatus Construction**: Modeled and figured out the correct sizing of the base wood, built and cut the camera mount, cleaned and fixed the glass tubes on the coil. 35 34 36 **Raspberry Pi**: ILAB was starting to get set up as well as running the machine learning scripts. Raspberry Pi Pinout was studied and code was written on itto control different states of the magnetic field.35 **Raspberry Pi**: Studied the raspberry pi pinout and wrote code on the raspberry pi to control different states of the magnetic field. 37 36 38 37 == **Week 3**\\ 39 **Camera Setup**:40 38 41 **Data Collection**: Videos of the bees were collected using the Raspberry Pi. The motion of the bees was observed depending on the different magnetic states. Machine learning would be used to analyze these videos.39 **Data Collection**: Collected videos of the bees using raspberry pi and used machine learning to analyze the videos. 42 40 43 **Eliminating Extraneous Sources**: 41 **Eliminating Extraneous Sources**: Constructed the black box around the data collection area of the tube 42 44 43 45 44 == **Week 4**\\