CycleBuddy v1.0

Release v1.0

This is the latest release in use. After long months of rigorous work, CycleBuddy system is finally ready for production!

Attributes:

How does this release improve our system?

A. Our system is complete, in terms of circuitry and low level modules:

a. Our sensors are narrowed down to one Pi Camera, one Ultrasonic Sensor, and one Hall Effect Sensor.

b. Our Proof Of Concept system design has met our expectations. The modules were placed in a strategic way to operate as we need.

c. The system is fully tested, operational and real-time!

B. Our Package of the CycleBuddy program includes all necessary components to coordinate with the physical system:

a. The programs are event-driven and split into multiple threads.

b. The system is dynamically built and generated using Cmake and Make.

c. Unit tests have been implemented for the different components of our system.

Expectations:

Our expectations is that this system will be ready for international use within 4-6 months. There are some improvements to be dealt with such as improving the proof of concept system design, such as using other materials and not scotch. Making our system design more professional will surely catch investor's eyes.

Finally, improving the mobile app and making sure the car plate recognising API is international, will allow us to pursue with this product and market it.

v0.1.5.2

This release is the final version:
1- Sending the image captured to firebase and extracting it in mobile app so that the user is able to compare the recognized car plate to the actual one.
After this release, all is left to do is to clean up the code and make it more user friendly.

v0.1.5.1

This version finalizes our system by:
1- Fixing the threading deadlock
2- Removing one ultrasonic sensor and having only : ultrasonic sensor, hall effect sensor and camera as inputs.
3- What is left is to send the data to firebase.

v0.1.4

This release includes a fully integrated system:
1- Sensors fulfilled and tested for optimal performance.
2- App developed to deliver readings from sensors and car plates recognized.
3- Camera integrated to capture images whenever triggered by the sensors.
4- API to recognize car plates integrated within the C++ code.
A fully pledged system combining all methods. Testing is next ! :D

v0.1.3

This release updates the solution by adding the api to recognize the plates of the cars using alpr. The System is coming to an end !

v0.1.2: Merge pull request #31 from OmarJabri7/dev/omar/docs

This release has been related on creating the different sensor classes and having call backs for each sensor.

1. Created a sensor_lib.h to include all the abstracted methods and classes for each sensor.
2. Create sensors.cpp including the hall effect and sonar sensor.
3. created a sensors_test.cpp as a main file to test our system.
4. Added threads for each sensor once executed.

v.0.1.0

This is our initial release of the Cycle Buddy system.