Elsewhere, there’s a 5200mAh battery (worse than its predecessors), Wi-Fi 5 connectivity plus NFC. The pixel density of the 11T’s screen stands at 282ppi, a third less than the older Armor 9. On the other hand, pictures are likely to be slightly more blurry although that will depend on the user’s sight. There are pros and cons to going for a lower resolution cheaper and lower power consumption. Surprisingly, Ulefone chose not to use a full HD+ display opting instead for a HD+. Without details of the intended end-use of the camera or system, FLIR's guidance is to specify a shuttered version of OEM camera.The Ulefone Armor 11T that was shipped to us came with the following hardware: However, an initial FFC should be performed using a uniform object or source in front of the lens (even a hand in front of the lens will work). In certain situations where the scene or the system is always moving, a non-shuttered version can be used, as FLIR's OEM cameras employ sophisticated software that will compensate for this drift. The parameters for FFC are time and temperature change.The shuttered versions of FLIR's OEM cameras perform this operation automatically, however the user has some control over the frequency of FFC by way of setting the amount of time between shuttering, and/or the amount that the ambient temperature can change before shuttering. This process is called a Flat Field Correction, or FFC. All uncooled microbolometer-based cameras drift with temperature changes, and for optimum image quality the pixels occasionally need to be re-normalized. “ For the majority of applications, a shuttered version of OEM camera is the best option. This is several times the size of dog biscuits (target). At this speed the target moves about 9 cm in 100 ms. As an example, in the dog food factory I recorded speeds as high as 0.9 m/s in the oven area. If it takes the module 100 ms to complete a frame, then a moving target will be distributed over more pixels and look like it has been cut in pieces or is longer. These sensor outputs (pseudo-pixels) are not measured at the same time. It is a thermopile array sensor meaning that it uses hundreds of sensors in one package. The Heimann thermal sensor is not a real camera. The RGB and thermal modules in my imaging system use different technologies. Again, the camera modules may not tolerate the heat stress. This will, however, require the modification of the processing line and a heat/vibration resistant enclosure/platform design. One way to deal with the resolution issue is to install the camera system very close to the target. The speed of the camera modules at their highest resolution (required) does not exceed 10-20 fps. This is similar to what happens with a handheld camera when your hand moves. If not fast enough, the camera will record the same object at different points in the same frame. There is a limitation to the number of frames per seconds we can get from the thermal and RGB camera modules used in my current design, and this may not be enough when scanning a fast-moving target on a conveyor. There are basically no competitors in agriculture when it comes to low-cost imaging systems for continuous monitoring, but there is a long list of fearsome competitors in the food industry who cover both small and large scales!ģ) Speed (frame per second) and response time. If you take my system to an industrial setting it would look like a toy compared to its commercially available industrial counterparts, which interestingly enough, cannot be used in agriculture for continuous monitoring despite their sophisticated design and high price. I was the first person to develop such a system to be used for continuous monitoring of plant canopies at a potentially affordable price. So, what is new about my system and what makes it interesting? The answer is that the area of application is perhaps the most important aspect. It was my introduction to the world of tiny thermal modules that allowed me to develop my first imaging system for agricultural applications. This has been out there and companies like FLIR have been doing it for so long. I was not the first to combine thermal and RGB images to separate target from background.
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