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This issue is to research options for external autofocus that can be added to any camera and (manual) lens. There are different technologies to measure the distance to an object: Main article: https://en.wikipedia.org/wiki/Range_imaging - [[ https://en.wikipedia.org/wiki/Lidar | LIDAR ]] - [[ https://en.wikipedia.org/wiki/Radar | RADAR ]] - [[ https://en.wikipedia.org/wiki/Optical_flow | optical flow detection ]] - Stereo image triangulation - Coded aperture The most accurate technology seems LIDAR, that's why it's used in self-driving cars. There are some commercial lidar systems. - [[ https://store.dji.com/de/product/ronin-3d-focus-system | DJI Ronin 3D Focus System ]] (159 €, range when filming a person is about 6 meters) - https://www.youtube.com/watch?v=Y7UEHryq7zo - https://www.youtube.com/watch?v=jtLODYh34uA&t=661s - https://www.youtube.com/watch?v=DWhm_hpkuWY - [[ https://www.blickfeld.com/de/firma/ | Blickfeld Cube ]] (made for industrie applications like self-driving cars) - https://www.youtube.com/watch?v=VThDC1Tb8ZE - [[ https://velodynelidar.com/products/velabit/ | Velodyne Velabit ]] - [[ https://www.livoxtech.com/de/horizon | Livox Horizon ]] (€1,199) - [[ https://www.lumotive.com/products | Lumotive ]] - [[ https://www.embedded.com/open-lidar-api-aims-to-accelerate-software-defined-lidar-adoption/ | Open lidar API ]] - [[ https://www.arducam.com/time-of-flight-camera-raspberry-pi/ | Arducam Time of Flight (ToF) Camera for Raspberry Pi ]] (MSRP 50USD) Range: Far Mode: 4m Near Mode: 2m Accuracy: Far mode:±2cm, Near mode: ±4cm Lens FOV: 70° Diagonal (equivalent to a 30mm lens on full frame sensor) {F246586} It would be awesome if we could build an open hardware solid-state LIDAR. Maybe there are some research papers we could implement. We could collaborate with open hardware self-driving car projects. Maybe some university is interested in such a project. One practical use of such a system for video would be conference recording. Today a camera person has to follow the speaker and keep focus. With a system to move the camera like a gimbal or robot arm and LIDAR focus it can be fully automated!

This issue is to research options for external autofocus that can be added to any camera and (manual) lens. There are different technologies to measure the distance to an object: Main article: https://en.wikipedia.org/wiki/Range_imaging - [[ https://en.wikipedia.org/wiki/Lidar | LIDAR ]] - [[ https://en.wikipedia.org/wiki/Radar | RADAR ]] - [[ https://en.wikipedia.org/wiki/Optical_flow | optical flow detection ]] - Stereo image triangulation - Coded aperture The most accurate technology seems LIDAR, that's why it's used in self-driving cars. There are some commercial lidar systems. - [[ https://store.dji.com/de/product/ronin-3d-focus-system | DJI Ronin 3D Focus System ]] (159 €, range when filming a person is about 6 meters) - https://www.youtube.com/watch?v=Y7UEHryq7zo - https://www.youtube.com/watch?v=jtLODYh34uA&t=661s - https://www.youtube.com/watch?v=DWhm_hpkuWY - [[ https://www.blickfeld.com/de/firma/ | Blickfeld Cube ]] (made for industrie applications like self-driving cars) - https://www.youtube.com/watch?v=VThDC1Tb8ZE - [[ https://velodynelidar.com/products/velabit/ | Velodyne Velabit ]] - [[ https://www.livoxtech.com/de/horizon | Livox Horizon ]] (€1,199) - [[ https://www.lumotive.com/products | Lumotive ]] - [[ https://www.embedded.com/open-lidar-api-aims-to-accelerate-software-defined-lidar-adoption/ | Open lidar API ]] - [[ https://www.arducam.com/time-of-flight-camera-raspberry-pi/ | Arducam Time of Flight (ToF) Camera for Raspberry Pi ]] (MSRP 50USD) Range: Far Mode: 4m Near Mode: 2m Accuracy: Far mode:±2cm, Near mode: ±4cm Lens FOV: 70° Diagonal (equivalent to a 30mm lens on full frame sensor) - [[ https://www.e-consystems.com/3d-depth-cameras/tof-time-of-flight-camera.asp | 3D Time of Flight ToF Camera - DepthVista (See3CAM_TOF_25CUG) ]] (Sample 699USD) Depth operating mode/range: Near mode: 0.2m to 1.2m Far mode: 1m to 6m Depth accuracy: Upto 1% (e.g. at 50cm you will get +or- 5mm error) FOV:84.29° (H) x 64.14° (V) x 99.75°(D) (with the lens provided by e-con) Has RGB Camera as well with FHD - 1920 x 1080 @30fps Linux software support {F246586} It would be awesome if we could build an open hardware solid-state LIDAR. Maybe there are some research papers we could implement. We could collaborate with open hardware self-driving car projects. Maybe some university is interested in such a project. One practical use of such a system for video would be conference recording. Today a camera person has to follow the speaker and keep focus. With a system to move the camera like a gimbal or robot arm and LIDAR focus it can be fully automated!

This issue is to research options for external autofocus that can be added to any camera and (manual) lens. There are different technologies to measure the distance to an object: Main article: https://en.wikipedia.org/wiki/Range_imaging - [[ https://en.wikipedia.org/wiki/Lidar | LIDAR ]] - [[ https://en.wikipedia.org/wiki/Radar | RADAR ]] - [[ https://en.wikipedia.org/wiki/Optical_flow | optical flow detection ]] - Stereo image triangulation - Coded aperture The most accurate technology seems LIDAR, that's why it's used in self-driving cars. There are some commercial lidar systems. - [[ https://store.dji.com/de/product/ronin-3d-focus-system | DJI Ronin 3D Focus System ]] (159 €, range when filming a person is about 6 meters) - https://www.youtube.com/watch?v=Y7UEHryq7zo - https://www.youtube.com/watch?v=jtLODYh34uA&t=661s - https://www.youtube.com/watch?v=DWhm_hpkuWY - [[ https://www.blickfeld.com/de/firma/ | Blickfeld Cube ]] (made for industrie applications like self-driving cars) - https://www.youtube.com/watch?v=VThDC1Tb8ZE - [[ https://velodynelidar.com/products/velabit/ | Velodyne Velabit ]] - [[ https://www.livoxtech.com/de/horizon | Livox Horizon ]] (€1,199) - [[ https://www.lumotive.com/products | Lumotive ]] - [[ https://www.embedded.com/open-lidar-api-aims-to-accelerate-software-defined-lidar-adoption/ | Open lidar API ]] - [[ https://www.arducam.com/time-of-flight-camera-raspberry-pi/ | Arducam Time of Flight (ToF) Camera for Raspberry Pi ]] (MSRP 50USD) Range: Far Mode: 4m Near Mode: 2m Accuracy: Far mode:±2cm, Near mode: ±4cm Lens FOV: 70° Diagonal (equivalent to a 30mm lens on full frame sensor) - [[ https://www.e-consystems.com/3d-depth-cameras/tof-time-of-flight-camera.asp | 3D Time of Flight ToF Camera - DepthVista (See3CAM_TOF_25CUG) ]] (Sample 699USD) Depth operating mode/range: Near mode: 0.2m to 1.2m Far mode: 1m to 6m Depth accuracy: Upto 1% (e.g. at 50cm you will get +or- 5mm error) FOV:84.29° (H) x 64.14° (V) x 99.75°(D) (with the lens provided by e-con) Has RGB Camera as well with FHD - 1920 x 1080 @30fps Linux software support {F246586} It would be awesome if we could build an open hardware solid-state LIDAR. Maybe there are some research papers we could implement. We could collaborate with open hardware self-driving car projects. Maybe some university is interested in such a project. One practical use of such a system for video would be conference recording. Today a camera person has to follow the speaker and keep focus. With a system to move the camera like a gimbal or robot arm and LIDAR focus it can be fully automated!