Intel Movidius Neural Compute Stick (NCS)

IV. SYSTEM ARCHITECTURE and CLASSIFICATION:

These automated cars capture the surrounding by the use of cameras fixed over and radars, GPS, and navigational paths. The laser which is fixed at the top is known as the heart and which is also used for capturing the surrounding environment . This laser device captures the path and draws a 3D diagram on its own. By this attached system in the automated car combines the laser measurements with the high qualified maps, produce different types of data models and that allow the car to drive automatically though any obstacle comes that caution the cars and drive without any accidents.

In addition to laser automated car mounted with other four radors placed on front and back of the bumpers

Fig.1. Neural Compute Stick

The above mentioned device is known as Intel Movidius Neural Compute Stick (NCS) and this device is used to learn AI programming. The Intel Movidius Neural Compute Stick (NCS) is a midget fan less deep learning device. Myriads of smart security cameras, gesture controlled drones, industrial machine vision equipment, and more contains Neural Compute Stick which is empowered by the same low power high performance Intel Movidius Vision Processing Unit (VPU) .

The Intel Movidius Neural Compute Stick enables expedite from a early model, scrutinizing and deployment of Deep Neural Network (DNN) guessing computer programs at the edge. The wholly primer part of AI applications that are not depending on and needing on a connection to the cloud is made enabled by low power VPU architecture.

The Neural Compute Stick combined with Intel Movidius Neural Compute SDK which allows developers to learn deep to profile, tune and deploy the Convolution Neural Network (CNN) on low-power application requiring real-time conclusion reached on the basis of evidence and reasoning.

Algorithm for image detection:

Step 1: Open the enumerated device

# Look for enumerated Intel Movidius NCS device(s); quit program if none

ADVANTAGE:

1) If the vehicle is driverless, there would be no bad drivers, there would be no worst driving in the roads . Over 80% of road accident in USA is due to no control on drivers.

2) Travelers will enjoy the journey and they can sleep comfortably overnight without any fear.

3) Reduced or not feeling tired from driving, plus confusions over directions and navigation would be reduced.

4) Human sense in capturing the object is probably less when comparing to laser sense in the self driving cars.

5) In order to shorten the journey time the speed limit is increased and the system can track any situations. Parking the vehicle would cause fewer problems and require no special skills. The car will drop the person and it get self parked by itself.

6) Automated vehicles will reduce in insurance for car owners.

7) The travel is efficient (fuel saving, etc)

8) the car theft can be reduced when we are using self driving cars.

VII. LIMITATIONS:

1) Driverless cars are costly, so it is not sure that everyone can buy the driverless cars .

2) Drivers will become jobless , when automated vehicles are