There is going to be a cheap camera to capture broken fruit even though the shell is still fresh

In the future, it is not too difficult to go to the market to choose delicious fruits.

Cheap cameras support the selection of delicious fruit

If we look at it with the naked eye, it is difficult to recognize that fruits (eg butter, peach) are ripe or nearly broken. However, with camera technology being developed by the University of Washington with Microsoft, we were able to know the ripeness of the fruit easily.

Picture 1 of There is going to be a cheap camera to capture broken fruit even though the shell is still fresh
HyperCam camera.

A group of scientists and engineers developed a low-cost camera called HyperCam , which uses near-infrared light to clearly see details that the naked eye cannot see. Normally, a camera that looks through things like this is worth a few thousand to a few tens of thousands of US dollars. In a recent press conference, the product development team estimated that the cost of the product was only about US $ 800, and if it was a phone camera, it was only $ 50.

Picture 2 of There is going to be a cheap camera to capture broken fruit even though the shell is still fresh
Blood vessels and tendons when taken with a normal camera (left) and HyperCam camera (right).

When using HyperCam camera to take photos of human hands, it will clearly see the person's blood vessels and tendons, this can be applied in many industries such as health, biology or even biometrics. In tests with this camera, the right hand recognition rate reached 99% and the correct rate of maturity of fruit was 94%.

Picture 3 of There is going to be a cheap camera to capture broken fruit even though the shell is still fresh
Use HyperCam camera to distinguish the ripeness of avocado.

"Although not yet completed, but in the future I think this camera will be equipped on the phone, we can go to the supermarket and distinguish the delicious / bad fruits". Mr. Shwetak Patel, representative of the University of Washington engineering team, said. The HyperCam camera uses near-infrared light on the ultra-spectral band to project the subject to capture, then captures 17 different images corresponding to those 17 wavelengths.

A major difficulty for the current product development team is that HyperCam does not work well under strong lighting environments. And scientists are trying to make this camera increasingly small so that it can be attached to mobile devices.