Machine vision targeting shapes

1 visualizzazione (ultimi 30 giorni)
TwentyG67
TwentyG67 il 18 Set 2016
Commentato: Image Analyst il 9 Ott 2016
I want to have my webcam pointed at the screen and have it recognize shapes. Can you point me in the right direction
I dont have the software yet, I'm just asking questions about it.
I was challenged by a friend that I couldn't never become good enough to beat him in Battlefield4. Sadly this is true. But given my never give up personality, I decided if I could beat him with a crutch.
I want to have my webcam pointed at the screen and have it recognize shapes and have it move the cursor to that particular shape. After this is accomplished I want to customize a PS4 into a PC.
The PC will have a secondary more powerful and faster system so it can eavesdrop on the PS4 during FPS games like Battlefield 4
The PC will have a large SSD full of processed images from the game in a database. The enemy is easily identifiable by the red triangle about its head
With the correct type of machine learning and visual identifying processes the PC should be able to target the enemy by parsing the info on the screen. Allowing the me an auto aim feature (through CronusMAX)
With a CronusMAX and the correct python and machine learning programs it should be able to learn how to play the games on the PS4. I would never sell this machine It will be too costly to build and code. It would just be my personal crutch If i could make it happen.

Risposta accettata

Image Analyst
Image Analyst il 18 Set 2016
The Computer Vision System Toolbox has lots of demos in it on tracking people and vehicles. You can try some of those. This will be a long and complex problem that may take you weeks or years to almost get right for the wide variety of things that will move in your scenes.
  6 Commenti
TwentyG67
TwentyG67 il 9 Ott 2016
computation time = what? lets cut to the chase, if it requires a lot of computation time are we talking more memory, threads or raw power?
Intel Core i7-6950X 25M Broadwell-E 10-Core 3.0 GHz LGA 2011-v3 140W BX80671I76950X Desktop Processor.
10 Cores / 20 Threads
LGA 2011-v3
4 Channels DDR4 2400; one DIMM per Channel
140W TDP
Up to 40 Lanes PCIe 3.0 (2x16+1x8)
25MB of L2 cache
would that do it or is it overkill?
Image Analyst
Image Analyst il 9 Ott 2016
I would think that should be sufficient.

Accedi per commentare.

Più risposte (1)

Image Analyst
Image Analyst il 18 Set 2016
See my attached shape recognition demo.
  3 Commenti
Image Analyst
Image Analyst il 18 Set 2016
Note: My above answer was for a totally different question. The poster totally changed the question.
TwentyG67
TwentyG67 il 18 Set 2016
Modificato: TwentyG67 il 18 Set 2016
To be fair the original question is still the first sentence. I just realized that it needed clarification which changed the answer. Thanks for your reply

Accedi per commentare.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by