- Why ZIVID
What is the difference between a consumer-grade 3D camera from Realsense and an industrial-grade 3D color camera from Zivid?
Many robotic bin- and piece picking applications have started their detect, pick, and place algorithm development based on the data from low-cost depth cameras like e.g. the RealSense. And given its price point and availability, it's a great entry point to 3D imaging and capturing point clouds.
With the latest news on Intel "winding down this business", we want to express a sincere gratitude to the Realsense team on paving the way in the industry and driving inspiring product innovation. At the same time; many companies are now exploring alternatives - here is how Zivid 3D cameras compares.
A 3D point cloud is the digital representation of our reality produced by a vision sensor. It's this point cloud that your system must use as input when calculating how to perform changes in the real world. A typical example is an automated solution for picking a box from a bin.
But the uncomfortable truth is that all 3D machine vision sensors introduce errors and uncertainties to the digital point cloud representation. When these errors are big enough, your solution is more likely to make mistakes. In our bin example, this means that we'll miss picking the box from the bin. If we can minimize these errors, our point clouds have a true representation of reality. High trueness means that your solution can successfully pick and place the box.
|Stereo vision depth camera output||Zivid 3D camera output|
In short; trueness and real-life representation are the biggest difference between a stereo camera and a 3D color camera from Zivid. With the industrial 3D camera, you can trust the point cloud data (if you can see more, you can do more).
Now let's look at two boxes and some matchstick boxes as captured with a stereo camera. As you can see, the point cloud data does not reflect the reality as we as humans would expect to see it.
Stereo camera boxes as captured by a stereo camera.
Here you can see the point cloud of the boxes and match sticks boxes captured with an industrial Zivid 3D camera.
The same boxes captured by Zivid's industrial 3D color cameras.
As a system designer, poor data requires us to make extraordinary adjustments;
So the way to remove uncertainties, extra adjustments, and to trust the output, is simply to use an industrial 3D camera in random bin-picking and logistics picking applications. The result is that our automated machine vision solution will cover more SKUs, experience fewer mispicks, and empty more bins. And, you'll get more satisfied end-customers!
At Zivid, we give random bin-picking a real sense!