Hi All,
Went against best judgement after reading a lot of reviews of the Arducams failings and bought one to see if I could beat the odds.
I was able to get the camera to be recognized by the PI5 64bit, it took some funky installations.
First thing that was wonky, if you mount this like you would a PI Camera, the image would be flipped. Don't know why they thought that was a good idea to not keep the same orientation.
The camera is manual, not autofocus. Not very desirable.
The module does come with plenty of ribbons to connect up to PI5/PI4/Nano
It will NOT be recognized out of the box, you will have to do some installations. You only got 1080P video mode with this, so if you where hoping for more ... forget about it. There are no still modes, it's just 1080 p and that's it.
When the Picamera recognizes this camera, it will be called arducam-pivariety. Now, I can't figure out for the life of me why they wouldn't just list the sensor like IMX462 like the pi-cameras do? It's like they developed this in a vacuum with no Q/A. How are you supposed to be able to adjust your software settings with "arducam-pivariety" if you got multiple different types of Arducam's that need different calibration files and settings? Doesn't make a lick of sense. I guess they believe a bunch of try-catch blocks and dumps are an acceptable way to configure your Camera.
The camera is a fisheye, as long as you keep what you are looking at on the horizon in the middle of the Camera, it works ok, but if you tilt it down ... you will see your mountains start to bow to the center.
I messed around with the camera controls, but couldn't get the low light settings working vs a hill a beans. No documentation on their site either.
So here's what the camera with this Sony STAVIS would do:
Now here's a shot from a camera I bought on AMazon a while back for around $80 bucks:
acelerar Solar Security Camera Outdoor with Solar Powered, 2K:
World of difference for low light/ IR Performance.
So My question is, for low light, what sensor should I be using to get me this level of performance?
Went against best judgement after reading a lot of reviews of the Arducams failings and bought one to see if I could beat the odds.
I was able to get the camera to be recognized by the PI5 64bit, it took some funky installations.
First thing that was wonky, if you mount this like you would a PI Camera, the image would be flipped. Don't know why they thought that was a good idea to not keep the same orientation.
The camera is manual, not autofocus. Not very desirable.
The module does come with plenty of ribbons to connect up to PI5/PI4/Nano
It will NOT be recognized out of the box, you will have to do some installations. You only got 1080P video mode with this, so if you where hoping for more ... forget about it. There are no still modes, it's just 1080 p and that's it.
When the Picamera recognizes this camera, it will be called arducam-pivariety. Now, I can't figure out for the life of me why they wouldn't just list the sensor like IMX462 like the pi-cameras do? It's like they developed this in a vacuum with no Q/A. How are you supposed to be able to adjust your software settings with "arducam-pivariety" if you got multiple different types of Arducam's that need different calibration files and settings? Doesn't make a lick of sense. I guess they believe a bunch of try-catch blocks and dumps are an acceptable way to configure your Camera.
The camera is a fisheye, as long as you keep what you are looking at on the horizon in the middle of the Camera, it works ok, but if you tilt it down ... you will see your mountains start to bow to the center.
I messed around with the camera controls, but couldn't get the low light settings working vs a hill a beans. No documentation on their site either.
So here's what the camera with this Sony STAVIS would do:
acelerar Solar Security Camera Outdoor with Solar Powered, 2K:
World of difference for low light/ IR Performance.
So My question is, for low light, what sensor should I be using to get me this level of performance?
Statistics: Posted by UltimateCodeWarrior — Mon Jan 13, 2025 2:41 am