| kmr0877/Vehicle-and-Speed-Identification |
30 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Detecting Cars in real time and identifying the speed of cars and tracking |
| matiasmenares/Nissboard |
26 |
|
0 |
0 |
over 3 years ago |
0 |
|
43 |
|
JavaScript |
| 🚗 Nissan Consult/OBDII Realtime Dashboard |
| JunshengFu/path_planning |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
C++ |
| Implement a simple real-time path planner in C++ to navigate a car around a simulated highway scenario |
| tarunsharma1/Real-time-video-content-based-ad-generator |
10 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
|
PHP |
| Generates ads in real time based on the content of the video. The audio form a video is downloaded, split into smaller parts, and then each part is send to GoogleSpeechToText API to get the corresponding text for that part. The text is then sent to Alchemy API to get the semantic content , i.e. keywords and entities. The word 'ad' is then added to these keywords and a search is made on ask.com . The resulting images are scraped and placed in the webpage beside the video (Youtube API). Thus the ads on the side of the video change in real time as the content of the video changes. If the person is talking about cars, an ad about cars shows up and when he talks about bikes, an ad about bikes shows up. To download the audio only, and split the audio, we use ffmpeg and youtube-dl .We run the shell commands from php itself. |
| flamescape/acsp |
8 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
|
JavaScript |
| A Node.JS implementation of the Assetto Corsa Server Protocol |
| susheels/contextual-advertisement-generator |
8 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
|
PHP |
| This is a hackathon project done which won the runners-up prize at "What the Hack" hackathon conducted by sap labs.Generates ads in real time based on the content of the video. The audio form a video is sent to GoogleSpeechToText API to get the corresponding text. AlchemyAPI is used to get the keyword and this is used to search online for relevent ads. The resulting images are scraped and placed in the webpage beside the video (Youtube API). Thus the ads on the side of the video change in real time as the content of the video changes. If the person is talking about cars, an ad about cars shows up and when he talks about bikes, an ad about bikes shows up. ffmpeg and youtube-dl is used to handle the video part. PHP was extensively used. |
| Chester-King/Intel-Edge-AI-Scholarship-Project |
7 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| The objective of the project is to run AI on the edge on CCTV camera at home looking over the driveway and the Android application can show you the status of the number of Cars or People present at the driveway in realtime. On the base level the camera uses the Optimized model to detect the number of cars and people present in the driveway and then if there is any change in the number of cars or people it updates the change to the cloud database. The android app picks up the changes in the cloud database in realtime and thus updates it on the app. |
