You can smoothly operate various PCs on a single-connected mouse and keyboard.
When switching between computers, additional hardware or multiple clicks configuring your computer system are no longer required with ShareMouse.
#Ltt sharemouse software#
Watch5,4 = Apple Watch Series 5 (44mm) (Aluminum) = 32GB, watchOS 9.4RCĪppleTV2,1 = Apple TV 2 = TV Software 5.3/iOS 6.1.4ĪppleTV3,1 = Apple TV 3 = TV Software 7.6.1/iOS 8.4.4ĪppleTV3,1 = Apple TV 3 = TV Software 7.6.1/iOS 8.4.Easily move contents from different devices IPhone9,1 = iPhone 7 (Global) (Midnight Star) = 256GB, iOS 14.2 (unlocked) IPhone9,1 = iPhone 7 (Global) (Silver) = 32GB, iOS 10.3.3 (unlocked) IPhone8,1 = iPhone 6S (Space Gray) N71AP = 16GB, iOS 15.0.2 (unlocked) IPhone7,2 = iPhone 6 (Silver) = 16GB, iOS 8.3 (blacklisted + locked to T-Mobile) IPhone6,1 = iPhone 5S (GSM) (Silver) = 16GB, iOS 11.0.1 (locked to TracFone) IPhone6,1 = iPhone 5S (GSM) (Silver) = 16GB, iOS 7.1.2 (unlocked) IPhone4,1 = iPhone 4S (Black) = 16GB, iOS 9.2.1 (unlocked) IPhone3,3 = iPhone 4 (CDMA) (Black) = 16GB, iOS 4.2.6 (locked to Verizon) I make note block music, currently working on Nightmare King Grimm. I play Minecraft on the r/Jailbreak server and own both Coral Plateau and New Kong City. Unless one has a mice that uses an accelerometer to track movement.Īlso, the G305 shown at 1:55 does have an "inches per second" metric for its max speed. In short, using acceleration for a metric of speed is flawed at best. Acceleration practically describes the change in the amount and direction of the motion blur.) (When the mice is moving, motion blur smears everything in the same way, so tracking stuff is rather easy in that case. Ie, motion blur can fool it into thinking that it has lost tracking, even if the details it is looking for is still in the frame. Though, usually smearing due to motion blur is going to hamper its tracking performance, since the microcontroller in most mice/keyboards/etc aren't computing power houses aimed at image recognition.
Unless it uses the dreaded motion blur in the camera to see how much the image seems to be smeared, then it can make an edjucated guess at least. If the second image it captures has no similarities with the prior, then it has no clue how far it has moved nor in what direction it has moved. Then it just looks how far it needed to offset the prior image and that is how far you have moved the mice.
It memorizes this image, compares it with the next image it captures and checks for an area that matches at least part of the prior image. The camera simply records an image, the microcontroller in the mice then throws in a bit of DSP to check for various scratches, dirt, grime or other stuff on the surface it is on. (and for everyone thinking that mice hold secret high speed cameras, yes they do, but they have a few hundred pixels of resolution, and are gray scale too. Maybe it could reach towards 2 m/s, but for object tracking reasons, this is likely hard. If this camera has a 2mm wide sensor area, and captures a 1000 frames a second, then it would likely be able to track movements upwards of 1 m/s. They use a camera, with a field of view that is frankly a couple of mm wide at most. Now how do optical mice track the surface they are on? (Now it is unrealistic to be able to do this. Then we still have an acceleration of 1 000 000 m/s^2 or 100 000 Gs. One G is just 9.82 m/s^2 (Ie, with every passing second, we increase the speed with 9.82 m/s on top of what speed we already had.)īut if we were to lets say rapidly accelerate from 0 m/s to 0.001 m/s (ie, practically not moving) but if we do that in 1ns. Hate to say it, but an acceleration of X G states nothing about speed. At 1:38 sensor speed is talked about, but the only metric provided is G forces, ie acceleration.
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