Auto Workshop and Security Monitoring - Computer Vision and Video Indexer

AbdiHakim Hussein

AbdiHakim Hussein

Nakuru, Nakuru County

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  • 0 Collaborators

In this project, I am appling the concepts of computer vision to monitor Homes, offices or even workshop. Computer vision will use an algorithm method to scan the face of a person and will compare it with the one on its database, obtain the emotions of a person, and get the details by tagging the image of a person. All these techniques will not only ensure the security section of a place by scanning someones face, but gets the best prediction and intents of a person according to his/her behavior! This is realy amazing! ...learn more

Project status: Under Development

Internet of Things, Artificial Intelligence

Overview / Usage

The possibilities and effort that someone can use to find someone, recognize someone or even helping someone to know someones status is a challenging issue. The power of A.I by using the webcams and video camera to analyse image of the video in real time is perfect! In this project, am gonna show you a simple scenerio where someone instead of knocking workshop gate stations, it will automatically know that person belongs to that organization and he/she is a member of that organization workshops and open the door for him/her. What happens next?
The first thing it will analyse member's face image and approve it. Then it will opens the gate door with a sound of "Hello (someone), welcome!" where (someone) is a member's name! It will mark a register that he/she has attended work for that day and calculate the duration of someones stays at the work! These technology will help alot of employers and will even empower them.
At the scenerio of this event, the system will try to understand someones emotions and also assets taken outside the organization. This makes system to be a strict monitor assistant everywhere in the work place.
Also, in case of finding someone or alerting someone about something or somobody has just passed along the street or is in front of a door gate, Bots will be used to send text messages to the owner and IoT devices will mention using sound ouput that something is happening now!
Lets look on the methodology approaches.

Methodology / Approach

The IoT kit board raspberryPi is used where it is connected to the camera/cameras. It is also connected to the mains and switches via relays with the extenstion of Arduino Board which will be connected to the gate doors. At the first instant, when someone is coming towards gate, lets say the name of the person is David, the system will automaticaly say "Hello David, Welcome", and will open the gate door if and only if the person is registered to be a member of that organization! This happens when camera uses real time analyis computer vision A.I facial recognition and capture david's face and tries to relate with the existing faces in the organization. If it finds, then the condition will be true otherwise false! As a results, these will mark a register for that person attending work for that day! At the same instant, the Machine learning will use Facial Vision to determine mood of that employee or member of that organization. This works with the Bots, Computer Vision algorithms, Facial Recognitions APIs and IoT board, i.e rasperryPi to process the analysis requests and save information to the database in the cloud.
The Bot also has the capability to speak and use Natural language to accept human enquiries at the office desk/home desk/at the gate and the whole system will execute the commands based on the Bot's requests. This will act like a personal, group and the organizational assistant intellignet Bot!

Technologies Used

RaspberryPi, c#, Python, Arduino,

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