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Goggles uses a phone's camera for data entry, Web searching and shopping, with a little bit of augmented reality thrown in.
The proposed method is applied in the laboratory for a bridge model using a high resolution CCD camera for data acquisition.
We apply this method to live mice using a conventional digital camera for data collection.
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Table 1 Technical specification of the thermal camera used for data collection Camera technical items Values Built-in digital camera resolution 2048 × 1536 pixels IR resolution 320 × 240 pixels Thermal sensitivity < 0.05°C NETD 50 mK Measurement accuracy 2°C or ±2% of reading.
Hence, the effective utilization of these cameras for data collection is of practical significance.
A recent technological breakthrough in electron cryomicroscopy (cryoEM) is the development of direct electron detection cameras for data acquisition.
The use of individuals' cell phones also allows the option of prompted action (e.g., turning on the camera, repositioning the camera, locating connectivity for data upload) either to trigger use or when data transfer issues is detected.
Thus, the camera performance was somewhat affected, particularly for the IR1 camera, requiring new procedures for data calibration.
What if a simple camera capturing data for machine learning could tell you the threat level of an individual approaching a fence?
The Fluvial Ecology Laboratory at the University of Trás-os-Montes and Alto Douro (LEF-CITAB) uses the River Habitat Survey (RHS) methodology a Water Framework Directive accepted method for assessing the character and habitat quality of rivers, which involves the use of a paper questionnaire, GPS and photographic camera for the collection of data in the field, which can be very cumbersome.
In the future work we will include development of a fusion algorithm for the NDE sensor and camera data for a more comprehensive and intuitive bridge deck condition assessment data presentation.
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