| # | Task | Start Date | End Date |
|---|---|---|---|
| 1 | Understand OpenCV and practice object detection using Python or web application | 11/18/2019 | 11/22/2019 |
| 6 | Research how to train a machine learning model to detect road objects | 11/25/2019 | 11/29/2019 |
| 5 | Research methods to detect multiple objects in image, video, and live feed | 11/25/2019 | 11/29/2019 |
| 7 | Write neural network code to be used to learn and recognize dangerous car conditions | 12/02/2019 | 12/20/2019 |
| 8 | Train neural network with training and validation sets of dangerous objects | 12/09/2019 | 12/27/2019 |
| M1 | Create a program that detect speed limit in a video | 12/02/2019 | 12/27/2019 |
| 2 | Setup a camera to be connected to live feed driving data | 12/30/2019 | 01/03/2020 |
| 4 | Write program to detect objects as they move in the camera | 01/06/2020 | 01/10/2020 |
| M2 | Connect the program to camera to read live feed data | 12/30/2019 | 01/10/2020 |
| 3 | Connect Camera with Raspberry Pi | 01/13/2020 | 01/17/2020 |
| 11 | Get full system to run on Raspberry Pi in a “live” environment | 01/20/2020 | 01/24/2020 |
| M3 | Setup program with Raspberry Pi | 01/13/2020 | 01/24/2020 |
| 12 | Write code to notify user of alerted object through Raspberry Pi and interface screen | 01/27/2020 | 02/07/2020 |
| 9 | Create an alert interface/program when object is detected | 02/10/2020 | 02/14/2020 |
| M4 | Create alert interface/program that trigger when object detected | 01/27/2020 | 02/14/2020 |
| 10 | Detect road swaying and dangerous driving through lane detection | 02/17/2020 | 02/28/2020 |
| M5 | Impletment more desired features | 02/17/2020 | 03/20/2020 |