Arducam
A refractored version of ArduCAM, keeped away from distro because massive changes!
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Usb_c_industrial_camera_fpga_usb3 | 610 | 6 months ago | 1 | Verilog | ||||||
| Source and Documentation files for USB C Industrial Camera Project, This repo contains PCB boards, FPGA , Camera and USB along with FPGA Firmware and USB Controller Firmware source. | ||||||||||
| Mipi_csi_receiver_fpga | 239 | 2 years ago | C | |||||||
| MIPI CSI-2 Camera Sensor Receiver verilog HDL implementation For any generic FPGA. Tested with IMX219 on Lattice MachXO3LF. 2Gbps UVC Video Stream Over USB 3.0 with Cypress FX3. This is now Legacy Version! | ||||||||||
| Ovc | 174 | 2 years ago | 6 | other | C | |||||
| the Open Vision Computer | ||||||||||
| C5soc_opencl | 65 | 3 years ago | 8 | apache-2.0 | Verilog | |||||
| DE1SOC DE10-NANO DE10-Standard OpenCL hardware that support VGA and desktop. And Some applications such as usb camera YUYV to RGB , Sobel and so on. | ||||||||||
| Backcam | 44 | 3 years ago | gpl-3.0 | C | ||||||
| A low power backscatter camera platform | ||||||||||
| X393 | 26 | 5 years ago | gpl-3.0 | Verilog | ||||||
| mirror of https://git.elphel.com/Elphel/x393 | ||||||||||
| Openmixr | 24 | 7 years ago | mit | VHDL | ||||||
| 4k Mixed Reality headset | ||||||||||
| Eddr3 | 23 | 7 years ago | Verilog | |||||||
| mirror of https://git.elphel.com/Elphel/eddr3 | ||||||||||
| Fpga Stereo Camera Basys3 | 22 | a year ago | Verilog | |||||||
| Integration of two camera modules to Basys 3 FPGA | ||||||||||
| Camera Tracking | 18 | 10 years ago | VHDL | |||||||
| Our project is the system that enables a moving camera to track a moving object in real time. We plan on doing this by having a camera mounted to a swivel using two servo motors to allow for the camera’s direction to be controlled. The camera data will be read into the FPGA board and some basic object recognition algorithm will be used to identify an some object and determine if the camera needs to be moved to keep the object in the field of vision. In addition to the auto tracking mode, we plan on having an IR remote to allow for manual panning, mode selection, and power on and off. If there is additional time we would like to also interface the FPGA to a Raspberry Pi board running a linux web server to allow for email alerts (when object moves) and web based control. | ||||||||||
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