teslacam | V9 Dashcam with the Raspberry Pi Zero W
kandi X-RAY | teslacam Summary
kandi X-RAY | teslacam Summary
teslacam is a JavaScript library typically used in Internet of Things (IoT), Raspberry Pi applications. teslacam has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
As of late 2018 Tesla released V9 which among a number of improvements included dash cam functionality. This works by placing a suitably sized USB drive in one of the available USB ports at the front of the vehicle (Model S). One drawback of this system, not uncommon in dash cams, there's no easy way to push this video to the 'cloud' - nor any capability to view in near real-time. This project aims to make this possible. Using a couple of tricks I've learned through tinkering with various single board computers, it is possible emulate a USB drive on the fly. In essence we are going emulate a USB drive, and periodically store the data on the SDHC. Once we have the video we can do what ever we'd like - maybe live stream, upload to your favourite cloud provider or simply backup the files when you return home.
As of late 2018 Tesla released V9 which among a number of improvements included dash cam functionality. This works by placing a suitably sized USB drive in one of the available USB ports at the front of the vehicle (Model S). One drawback of this system, not uncommon in dash cams, there's no easy way to push this video to the 'cloud' - nor any capability to view in near real-time. This project aims to make this possible. Using a couple of tricks I've learned through tinkering with various single board computers, it is possible emulate a USB drive on the fly. In essence we are going emulate a USB drive, and periodically store the data on the SDHC. Once we have the video we can do what ever we'd like - maybe live stream, upload to your favourite cloud provider or simply backup the files when you return home.
Support
Quality
Security
License
Reuse
Support
teslacam has a low active ecosystem.
It has 80 star(s) with 19 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 9 open issues and 10 have been closed. On average issues are closed in 23 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of teslacam is current.
Quality
teslacam has 0 bugs and 0 code smells.
Security
teslacam has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
teslacam code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
teslacam is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
teslacam releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
teslacam saves you 4 person hours of effort in developing the same functionality from scratch.
It has 12 lines of code, 0 functions and 20 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
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teslacam Key Features
No Key Features are available at this moment for teslacam.
teslacam Examples and Code Snippets
No Code Snippets are available at this moment for teslacam.
Community Discussions
Trending Discussions on Internet of Things (IoT)
QUESTION
Display data from two json files in react native
Asked 2020-May-17 at 23:55
I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files
...ANSWER
Answered 2020-May-17 at 23:55The new object to get params in React Navigation 5 is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install teslacam
Generate a ssh key for the rsync service. Run rsync upload service initial setup to copy making sure to update user@server to where you want to upload your key. Run the following command after you update the RSYNC_TARGET.
Generate a ssh key for the rsync service $ docker run \ --rm \ -v teslacam_rsync_ssh:/root/.ssh \ --entrypoint "ssh-keygen" \ teslacam/dashcam-rsync-upload \ -f /root/.ssh/id_rsa -q -N ""
Run rsync upload service initial setup to copy making sure to update user@server to where you want to upload your key $ docker run \ --rm \ -it \ -v teslacam_rsync_ssh:/root/.ssh \ --entrypoint "ssh-copy-id" \ teslacam/dashcam-rsync-upload \ user@server
Run the following command after you update the RSYNC_TARGET $ docker run \ --restart=always \ -d \ -v teslacam_rsync_ssh:/root/.ssh \ -v ${HOME}/teslacam/video:/video \ -e "RSYNC_TARGET=user@server:~/TeslaCam" \ --name rsync-upload \ teslacam/dashcam-rsync-upload
Obtain a dropbox token for your account
Configure the uploader container by running $ docker run \ --rm \ -it \ -v dropbox_uploader_config:/config \ --entrypoint=./dropbox_uploader.sh \ teslacam/dropbox-uploader \ -f /config/dropbox_uploader.conf
Run the container and set it to restart always docker run \ --restart=always \ -v dropbox_uploader_config:/config \ --name dropbox-uploader \ teslacam/dropbox-uploader
Generate a ssh key for the rsync service $ docker run \ --rm \ -v teslacam_rsync_ssh:/root/.ssh \ --entrypoint "ssh-keygen" \ teslacam/dashcam-rsync-upload \ -f /root/.ssh/id_rsa -q -N ""
Run rsync upload service initial setup to copy making sure to update user@server to where you want to upload your key $ docker run \ --rm \ -it \ -v teslacam_rsync_ssh:/root/.ssh \ --entrypoint "ssh-copy-id" \ teslacam/dashcam-rsync-upload \ user@server
Run the following command after you update the RSYNC_TARGET $ docker run \ --restart=always \ -d \ -v teslacam_rsync_ssh:/root/.ssh \ -v ${HOME}/teslacam/video:/video \ -e "RSYNC_TARGET=user@server:~/TeslaCam" \ --name rsync-upload \ teslacam/dashcam-rsync-upload
Obtain a dropbox token for your account
Configure the uploader container by running $ docker run \ --rm \ -it \ -v dropbox_uploader_config:/config \ --entrypoint=./dropbox_uploader.sh \ teslacam/dropbox-uploader \ -f /config/dropbox_uploader.conf
Run the container and set it to restart always docker run \ --restart=always \ -v dropbox_uploader_config:/config \ --name dropbox-uploader \ teslacam/dropbox-uploader
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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