Camera Operation Research Articles

Assessment of first-touch skills in robotic surgical training using hi-Sim and the hinotori surgical robot system among surgeons and novices

PurposeSurgeons’ adaptability to robotic manipulation remains underexplored. This study evaluated the participants’ first-touch robotic training skills using the hinotori surgical robot system and its simulator (hi-Sim) to assess adaptability.MethodsWe enrolled 11 robotic surgeons (RS), 13 laparoscopic surgeons (LS), and 15 novices (N). After tutorial and training, participants performed pegboard tasks, camera and clutch operations, energizing operations, and suture sponge tasks on hi-Sim. They also completed a suture ligation task using the hinotori surgical robot system on a suture simulator. Median scores and task completion times were compared.ResultsPegboard task scores were 95.0%, 92.0%, and 91.5% for the RS, LS, and N groups, respectively, with differences between the RS group and LS and N groups. Camera and clutch operation scores were 93.1%, 49.7%, and 89.1%, respectively, showing differences between the RS group and LS and N groups. Energizing operation scores were 90.9%, 85.2%, and 95.0%, respectively, with a significant difference between the LS and N groups. Suture sponge task scores were 90.6%, 43.1%, and 46.2%, respectively, with differences between the RS group and LS and N groups. For the suture ligation task, completion times were 368 s, 666 s, and 1095 s, respectively, indicating differences among groups. Suture scores were 12, 10, and 7 points, respectively, with differences between the RS and N groups.ConclusionFirst-touch simulator-based robotic skills were partially influenced by prior robotic surgical experience, while suturing skills were affected by overall surgical experience. Thus, robotic training programs should be tailored to individual adaptability.

Empowering Collaborative Learning: Innovative Integration of Real-Time Communication Into Hololens-Based Learning System

This study primarily aims to investigate the effectiveness of the HoloLens-based learning system, RTCHoloLS, in enhancing collaborative learning skills in undergraduate photography courses. It provides empirical evidence showing how RTC-HoloLS addresses pedagogical challenges and improves collaborative learning outcomes, offering a holistic approach to photography education. Although Augmented Reality (AR) technology helps students theoretically understand camera operations in photography courses, it lacks in promoting collaborative learning skills during hands-on practice. To address this limitation, this study introduces the RTC-HoloLS, a HoloLens-based learning system with Real-Time Communication, and compares it to the conventional video streaming-based HoloLS (CVSHoloLS). The results indicate that RTC-HoloLS significantly enhances collaborative learning skills compared to CVS-HoloLS, highlighting the importance of integrating Real-Time Communication technologies in AR learning environments. Additionally, RTC-HoloLS was equally effective for both male and female students, whereas CVS-HoloLS showed greater benefits for male students. This suggests the need to consider gender differences in design and development to ensure the learning system accommodates all students. The findings have significant implications for instructional technology design and implementation, suggesting that educational institutions should prioritize real-time communication features in AR learning tools to enhance collaboration and interaction.

Risk and Energy Based Optimization for Fire Monitoring System in Utility Tunnel Using Cellular Automata

Fire is one of the biggest threats to the safety of utility tunnels, and establishing camera-based monitoring systems is conducive to early fire finding and better understanding of the evolution of tunnel fires. However, conventional monitoring systems are being faced with the challenge of high energy consumption. In this paper, the camera operation in a utility tunnel was optimized considering both fire risk and energy consumption. Three design variables were investigated, namely the camera sight, the number of cameras in simultaneous operation, and the duration of camera operation. Cellular automata were used as a simple but effective method to simulate the spread of fire in a utility tunnel. Results show that as the number of cameras in simultaneous operation increases, the probability of fire capture also increases, but the energy consumption decreases. A shorter duration of camera operation can lead to a higher probability of fire capture, and meanwhile, lower energy consumption. For the duration of camera operation shorter than or equal to the allowable time, the probability of fire capture is significantly higher than that for the duration longer than the allowable time. Increasing the camera sight will significantly increase the probability of fire capture and lower the total energy consumption when a blind monitoring area exists. The total energy consumption of a camera-based monitoring system roughly satisfies hyperbolic correlation with the duration of camera operation, while the probability of fire capture can be predicted based on the number of cameras in simultaneous operation through a power model. The optimal design for the modeled tunnel section is two cameras in simultaneous operation with a tangent monitoring area. The duration of camera operation should be as short as possible, at least shorter than the allowable time. The study is expected to provide a reference for the sustainable design of energy-saving utility tunnels with lower fire risk.

Camera trap surveys of Atlantic Forest mammals: A data set for analyses considering imperfect detection (2004-2020).

Camera traps became the main observational method of a myriad of species over large areas. Data sets from camera traps can be used to describe the patterns and monitor the occupancy, abundance, and richness of wildlife, essential information for conservation in times of rapid climate and land-cover changes. Habitat loss and poaching are responsible for historical population losses of mammals in the Atlantic Forest biodiversity hotspot, especially for medium to large-sized species. Here we present a data set from camera trap surveys of medium to large-sized native mammals (>1 kg) across the Atlantic Forest. We compiled data from 5380 ground-level camera trap deployments in 3046 locations, from 2004 to 2020, resulting in 43,068 records of 58 species. These data add to existing data sets of mammals in the Atlantic Forest by including dates of camera operation needed for analyses dealing with imperfect detection. We also included, when available, information on important predictors of detection, namely the camera brand and model, use of bait, and obstruction of camera viewshed that can be measured from example pictures at each camera location. Besides its application in studies on the patterns and mechanisms behind occupancy, relative abundance, richness, and detection, the data set presented here can be used to study species' daily activity patterns, activity levels, and spatiotemporal interactions between species. Moreover, data can be used combined with other data sources in the multiple and expanding uses of integrated population modeling. An R script is available to view summaries of the data set. We expect that this data set will be used to advance the knowledge of mammal assemblages and to inform evidence-based solutions for the conservation of the Atlantic Forest. The data are not copyright restricted; please cite this paper when using the data.

Following the trail of the grey brocket deer (Mazama gouazoubira) in Argentina: new locality records, activity patterns and habitat use

The brown brocket deer (Mazama gouazoubira) is a species of neotropical ungulate that inhabits several countries in South America. In Argentina, it is distributed in the northern portion of the country, while historical records do not mention it in the province of Mendoza. However, in the Categorization of Mammals of Argentina (2019), the NE of Mendoza is proposed as a potential distribution area of the species. In this work we confirm the presence of the brown brocket deer in the province of Mendoza (locality of Desaguadero - RAMSAR Site), and we also evaluate its activity patterns and habitat preferences. We established 1 km2 grids in three environments: salt flats, shrublands, and forests. A camera trap (n = 38) was placed in each grid, active for 55 days between October 2022 and April 2023 for fauna survey. In addition, NDVI values (Normalized Difference Vegetation Index) were calculated from LANDSAT-8 images as an estimator of vegetation cover for each grid. We obtained 25 independent records of 11 individuals (5 males and 6 females) from a sampling effort of 51,072 hours of camera operation (2,090 night/trap = 55 night * 38 camera). The males were individually identified based on the presence of antlers, their size, dimension and texture, while the females by their body size and gestation condition. In terms of activity patterns, we observed that these animals are most active in the afternoon (16 to 19 hs) and morning (8 to 9 hs), avoiding the moments of greatest solar radiation (Rayleigh-test r = 0.99, p < 0.001). NDVI was significantly different among the three environments (Chisq = 32.98; p < 0.001), with the forest having the highest vegetation cover. Finally, generalized linear models with binomial distribution were used to evaluate the effect of vegetation on the presence of brown brocket deer. We found that the higher the NDVI value, the higher the probability of presence of the deer (z = 2.27; p < 0.05). These results expand the distribution of the species and increase the diversity of mammals for Mendoza province, which generates added value to the planning of the proposed protected area for Desaguadero in the RAMSAR site Lagunas de Guanacache, Desaguadero y del Bebedero.

Single line of sight frame camera based on the RadOptic effect of ultrafast semiconductor detector

A new optical beam splitting method is proposed, based on which the optical frame camera capable of capturing multiple frames in a single exposure is designed and experimentally verified. The operation of the frame camera is based on an ultra-fast response semiconductor detector. It is equipped with an optical beam splitter and an optical imaging module. The ultrafast semiconductor detector receives an optical pulse that produces a transient refractive index change, and ultrafast physical processes are recorded by diffracting the probe laser through the transient phase grating. The interaction of an X-ray pulse with a semiconductor detector to produce a phase grating is simulated, based on the Monte Carlo method. The optical beam splitting mode separates a laser into two optical pulses with a certain time difference in the direction of polarization perpendicular to each other. The imaging module filters the diffracted probe laser in the spectral plane and then images multiple frames. The frame camera was used to record the temporal and spatial distribution characteristics of femtosecond laser pulses with a temporal resolution of 4.1 ps. This frame camera has great potential and value for applying to experimental studies of inertial confinement fusion.

Evaluation of in-service smartphone battery drainage profile for video calling feature in major apps

Video calling is one of the most energy-intensive features in apps requiring the simultaneous operation of the mobile camera, display screen, audio speaker, and internet services. This feature impacts a smartphone battery's runtime and lifetime. This paper is the first of its kind experimental study, which quantifies the operating profile (discharge current, temperature, and terminal voltage) of video call feature in multiple widely used social media apps, which include WhatsApp, Facebook Messenger, Zoom, Skype, WeChat, Google Hangouts, Imo and Viber. One smartphone each of Vivo and Motorola has been evaluated as the manufacturer-provided application programming interface (API) allowed real-time measurement of the operating profile. Results indicate that the video calling feature for Facebook Messenger and Imo is the most energy efficient. In contrast, Google Hangouts is up to 35% more energy-intensive for video calling than other apps. Measurements also show that Vivo's in-service battery temperature is lower than Motorola due to its efficient chipset. For instance, during active Google Hangouts operation for 1 h, Vivo temperature is limited to 46 °C, whereas Motorola temperature rises to 52 °C. Finally, the influence of app algorithms and codecs on energy efficiency is also discussed with regard to operating performance.

Key-frame extraction based video watermarking using speeded up robust features and discrete cosine transform

Due to advancements in the internet and multimedia technologies, unauthorised users can easily modify video content. As a result, video authentication has been established as a viable solution for ensuring multimedia security. We propose a key-frame based video watermarking scheme based on discrete cosine transform (DCT). First, the pearson correlation coefficient (PCC) is used to detect the shot boundaries of the input video. To reduce the difficulties created by traditional video watermarking systems; an entropy measure is employed to detect key-frames from input video. Traditional schemes entail embedding the entire watermark into all frames of the video, which is inefficient and time-consuming. To improve the security, robustness, and imperceptibility of the proposed video watermarking scheme, speeded up robust feature points are extracted from each key-frame of the shot and used as reference points for embedding and detection of watermark. The embedded watermark is extracted blindly without using the original data during the extraction process. The results of the experiments reveal that the proposed technique effectively detects shot boundaries under a variety of camera operations and outperforms in terms of imperceptibility and resilience.

Key-frame extraction based video watermarking using speeded up robust features and discrete cosine transform

Due to advancements in the internet and multimedia technologies, unauthorised users can easily modify video content. As a result, video authentication has been established as a viable solution for ensuring multimedia security. We propose a key-frame based video watermarking scheme based on discrete cosine transform (DCT). First, the Pearson correlation coefficient (PCC) is used to detect the shot boundaries of the input video. To reduce the difficulties created by traditional video watermarking systems; an entropy measure is employed to detect key-frames from input video. Traditional schemes entail embedding the entire watermark into all frames of the video, which is inefficient and time-consuming. To improve the security, robustness, and imperceptibility of the proposed video watermarking scheme, speeded up robust feature points are extracted from each key-frame of the shot and used as reference points for embedding and detection of watermark. The embedded watermark is extracted blindly without using the original data during the extraction process. The results of the experiments reveal that the proposed technique effectively detects shot boundaries under a variety of camera operations and outperforms in terms of imperceptibility and resilience.

Predictive tracking of an object by a pan–tilt camera of a robot

Moving-object tracking using a pan–tilt camera setup is quite a well-known task in robotics. However, the presented research addresses specific properties of the tracked object and introduces novel features to the pan–tilt camera control strategy. Pan–tilt camera control does not operate in an isolated environment. It is a part of the visual servoing system with specific goals. The system has to fulfill certain purposes, which affect its configuration and functionality. The pan–tilt system aims at keeping the visually tracked object within the middle of the image. At the same time, the overall visual servoing efficiently recognizes and tracks the object enabling its grasping by the robot arm. It uses a predictive strategy utilizing specific second-order linear models for pan and tilt joints. Model predictive control (MPC) introduces into the system the ability to predict camera operation over the specific horizon according to the predefined tracking goals. As the system anticipates future positions over the horizon of operation, the setpoint prediction of the future tracked system positions is required. Visual object recognition and tracking system use particular strategies for preparing online tracked object extrapolation over MPC horizon. Therefore, the pan–tilt camera system is intrinsically coupled to camera-based recognition and tracking. Predictive pan–tilt positioning keeps the tracked system in the middle of the image, while the visual system extrapolation improves the tracking performance. The proposed approach is thoroughly tested in the dedicated Gazebo-based robot simulator. Finally, the system is implemented and validated on the Velma robot. The results and their comparison with other control strategies confirm the initial assumptions, allowing further visual servoing system development.

Studies and optimization of scintillation light measurements for the development of the 3-gamma medical imaging XEMIS2 liquid xenon Compton camera

We report the studies and optimization of scintillation light measurements in an updated version of the XEMIS1 prototype for the development of the XEMIS2 camera. A novel monolithic liquid xenon Compton camera, named XEMIS2 (XEnon Medical Imaging System), attempts to achieve low-activity small-animal imaging using the 3-gamma imaging technique. This emerging detector relies on the time projection chamber technique: it will be able to perform a simultaneous detection of the three γ -rays emitted by a specific radionuclide, such as scandium-44, and to produce a good quality image with a remarkable diminution of radiopharmaceutical activity at the same time. Vacuum Ultraviolet (VUV) scintillation light and ionization charge carriers generated from the recoiling particles within the detector are detected and used to reconstruct the interaction position and deposited energy. A cost-effective self-triggering scintillation signal read-out and data acquisition (DAQ) system has been developed to achieve a continuous data read-out with negligible electronics dead time. The DAQ prototype has been installed and qualified in an updated version of the XEMIS1 detector. It reaches the performance specifications in scintillation light measurements. Moreover, scintillation signals can also be used for the virtual segmentation of the monolithic detection volume through the matching algorithm of the scintillation and ionization signals based on the light collection map (LCM). This spatial pre-localization of the physical events, called the virtual fiducialization of the active volume, is used to lower the detector occupancy rate when the administered activity is increased to lessen the examination time. The XEMIS1 experimental LCMs indicate that each PMT owns an individual field of view so as to segment the active volume virtually. The preparation work for the XEMIS2 camera operation has been completed in the updated XEMIS1 detector while the XEMIS2 scintillation light measurement system is under commissioning in Nantes Centre Hospitalier Universitaire. • The XEMIS2 camera oriented to the whole-body small animal 3-gamma medical imaging is presented. • The XEMIS2 system is a monolithic liquid xenon Compton camera with a 24 cm axial field of view. • A dedicated cost-effective 16-channel self-triggering scintillation signal front-end read-out electronics called XSRETOT is described. • The experimental light collection maps of an updated version of the XEMIS1 detector have been built, which can be used for the virtual segmentation of the monolithic detection volume to reduce the detector occupancy rate in the context of increasing the administered activity.

Development of a prototype 16-channel dual gain waveform readout and data transfer system for IACT based telescope camera

A 256-pixel camera for a 4-meter class telescope based on Imaging Atmospheric Cherenkov Technique (IACT) is under development. It would be mounted at the focal plane of TeV Atmospheric Cherenkov Telescope with Imaging Camera (TACTIC) array element at Mount Abu (Rajasthan, India). The telescope would be used for detection of very high energy gamma rays of celestial origin. Instead of the traditional choice of photo-multiplier tube, the camera employs silicon photo-multiplier (SiPM) as pixel sensor. The front-end electronics of the camera processes signals from 256 pixel sensors. The back-end electronics samples the processed pixel signals, generates event triggers and records the sampled signals. The critical design objectives to be met by the back-end electronics include large dynamic range of photon detection, capability of in-situ gain calibration for each pixel chain, low chance trigger rate, recording the pixel signal profile with a sampling rate of 1 Giga Samples Per Second (GSPS), low dead time (<1 millisecond) and run-time control of the camera operation. Also, the camera cost, power, size and weight should be as low as possible. The important back-end tasks like pixel signal processing, generating pre-triggers, digitization of the pixel pulse profiles, packing and sending the digitized data are performed by the custom designed Cluster Digitizer Module (CDM). CDM is a 16-channel readout system, and its design revolves around an ultra-fast analog sampler chip and a set of FPGAs. The CDM is thoroughly tested in the lab using test signals from SiPM as well as high performance function generator. The paper describes the design, development and performance of the prototype CDM.

An Acoustic Camera for Use on UAVs.

Airborne acoustic surveillance would enable and ease several applications, including security surveillance, urban and industrial noise monitoring, rescue missions, and wildlife monitoring. Airborne surveillance with an acoustic camera mounted on an airship would provide the deployment flexibility and utility required by these applications. Nevertheless, and problematically for these applications, there is not a single acoustic camera mounted on an airship yet. We make significant advances towards solving this problem by designing and constructing an acoustic camera for direct mounting on the hull of a UAV airship. The camera consists of 64 microphones, a central processing unit, and software for data acquisition and processing dedicatedly developed for far-field low-level acoustic signal detection. We demonstrate a large-aperture mock-up camera operation on the ground, although all preparations have been made to integrate the camera onto an airship. The camera has an aperture of 2 m and has been designed for surveillance from a height up to 300 m, with a spatial resolution of 12 m.

Primena termovizije i računarskih sistema za monitoring vitalnih sistema u elektrotehnici, mašinstvu i građevinarstvu

The paper presents the application of computer systems for monitoring in the fields of electrotehnics, mechanical engineering, and construction. It outlines the basic principles of thermal radiation from objects and describes the operation and structure of a thermal imaging camera, providing practical examples in the mentioned fields. The document showcases examples of in-formation systems for monitoring, along with thermograms obtained through this method.

АВТОМАТИЗОВАНА СИСТЕМА З АВТОНОМНОЮ СТАБІЛІЗАЦІЄЮ НА БАЗІ МОБІЛЬНОЇ ПЛАТФОРМИ ДЛЯ ВИМІРЮВАННЯ ТЕПЛОВИХ ПОКАЗНИКІВ ОБ’ЄКТІВ

Mobile robotic platforms are autonomous devices consisting of mechanical, electrical and electronic components that allow them to move on land, water or in the air. These platforms can be used in a variety of industries, including medicine, industry, research and intelligence, and military applications. The article deals with a new automated system with autonomous stabilization based on a mobile platform for measuring the thermal indicators of objects. The developed 3D model of a mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system is presented. Attention is focused on the choice of optical devices for measuring the thermal performance of objects, namely, a night vision camera and a thermal imaging camera. A description of the day-night camera operation is given, and its application areas are analyzed. The physical principle of operation of thermal imaging cameras and their applications are described. It is established that the image quality varies depending on whether the thermal imager is active or passive. The TELEDYNE FLIR TAU 2 thermal imaging camera was chosen for the new mobile platform, which uses infrared imaging technology to detect the thermal signatures of objects. Possible errors of optical devices were analyzed: calibration error, reading error, video image delay error, other instrumental errors (from the influence of temperature, lighting, orientation in space, noise, etc.). Experimental studies of the developed mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system were carried out, having previously calibrated it, and their results are presented. It is determined to measure the surface temperature of an object using a thermal imaging camera; it is necessary to know its emission, which is determined by the properties of the material from which the object is made. This can be done using a calibrated infrared source, making it possible to measure the temperature of objects in the image accurately.

An Improved Systematic Management Model for CCTV Footage in Police Criminal Investigations. A Case Study of Uganda Police Force

Criminal investigations with CCTV footage are still having a lot of challenges being faced most especially in relation to footage management. A qualitative comparative study involving getting opinions from the experienced CCTV management team and the investigation team has been conducted to gather some information regarding the current CCTV management model. These findings were compared with the challenges reported by several media and individuals. The study revealed inadequate CCTV system audits, unauthorised footage recordings with personal devices by staff, footage leakages to social media, insufficient training for some staff, low coordination between Uganda Police Force CCTV management and stakeholders involved in road constructions, water supply constructions, billboard installations and electricity supply operations that interrupts CCTV camera operations in case of unexpected occurrences of their related activities. An improved model that involves cloud-based system audits, footage automated shutdown up-on detection of recording devices, cloud-based footage analysis and automated system backups have been incorporated into the current CCTV management model. The system computerisation procedure for the improved model have as well been outlined.

Kinesthetic Exchanges between Cinematographers and Dancers: A Series of Screendance Interviews

This paper examines the kinesthetic exchanges between camera operators and dancers, and proposes that their creative methodologies and interpersonal relationships can enhance the making of a screendance. I discuss how I discovered this project, unpack the phrase “kinesthetic exchange,” and identify the cinematographer as the co-creator of a film’s kinesthesia. I also discussscreendances that prioritize mobile camera operation, and I speculate that shared kinesthesia between camera and dancer has the potential to kinesthetically and emotionally affect audiences. Included are six interviews of contemporary dance makers and filmmakers that speak to the kinesthetic connection between the dancer and camera operator, and how that relationship enlivens the two-dimensionality of the frame. It is my intention to offer varying perspectives about kinesthetic exchanges between camera operators and dancers, and how their relationships may influence the creative processes for the creation of screendances.

The ultrafast pixel array camera system and its applications in high energy density physics.

Diagnostics in high energy density physics, shock physics, and related fields are primarily driven by a need to record rapidly time-evolving signals in single-shot events. These measurements are often limited by channel count and signal degradation issues on cable links between the detector and digitizer. We present the Ultrafast Pixel Array Camera (UPAC), a compact and flexible detector readout system with 32 waveform-recording channels at up to 10 Gsample/s and 1.8GHz analog bandwidth. The compact footprint allows the UPAC to be directly embedded in the detector environment. A key enabling technology is the PSEC4A chip, an eight-channel switch-capacitor array sampling device with up to 1056 samples/channel. The UPAC system includes a high-density input connector that can plug directly into an application-specific detector board, programmable control, and serial readout, with less than 5W of power consumption in full operation. We present the UPAC design and characterization, including a measured timing resolution of ∼20ps or better on acquisitions of sub-nanosecond pulses with minimal system calibrations. Example applications of the UPAC are also shown to demonstrate operation of a solid-state streak camera, an ultrafast imaging array, and a neutron time-of-flight spectrometer.

PERANCANGAN ANIMASI 3D TAMAN WISATA BINJAI PARK DESA JIRAK KABUPATEN SAMBAS

3D (three-dimensional) animation is now familiar to most people. The use of 3-dimensional animation is now also increasingly common in filmmaking, advertising, and even as a medium of designing objects and buildings. The purpose of this research was to design and create a 3-dimensional garden animation video that can be used as visualizing objects that appear more real and close to their original form, in the design and creation of this animation researchers use the MDLC (Multimedia Deveploment Life Cycle) method, namely concept, design, material collecting, assembly, testing, and distribution. After that, the process of modeling objects with modeling techniques used, namely primitive modeling and Polygonal Modeling then entered the environment, texture, animating camera operation to the rendering stage using the Blender application, then into pieces of 3-dimensional animated video. After the process is complete, the process of combining videos that have been made in the Blender application and the addition of text and audio using Adobe Premiere Pro cc software. The last stage is the final rendering process that produces a 3-dimensional animation video of the park as a whole in the .mp4 file format with a video duration of 4 minutes

Experience Gained When Using the Yuneec E10T Thermal Camera in Environmental Research

Thermal imaging is an important source of information for geographic information systems (GIS) in various aspects of environmental research. This work contains a variety of experiences related to the use of the Yuneec E10T thermal imaging camera with a 320 × 240 pixel matrix and 4.3 mm focal length dedicated to working with the Yuneec H520 UAV in obtaining data on the natural environment. Unfortunately, as a commercial product, the camera is available without radiometric characteristics. Using the heated bed of the Omni3d Factory 1.0 printer, radiometric calibration was performed in the range of 18–100 °C (high sensitivity range–high gain settings of the camera). The stability of the thermal camera operation was assessed using several sets of a large number of photos, acquired over three areas in the form of aerial blocks composed of parallel rows with a specific sidelap and longitudinal coverage. For these image sets, statistical parameters of thermal images such as the mean, minimum and maximum were calculated and then analyzed according to the order of registration. Analysis of photos taken every 10 m in vertical profiles up to 120 m above ground level (AGL) were also performed to show the changes in image temperature established within the reference surface. Using the established radiometric calibration, it was found that the camera maintains linearity between the observed temperature and the measured brightness temperature in the form of a digital number (DN). It was also found that the camera is sometimes unstable after being turned on, which indicates the necessity of adjusting the device’s operating conditions to external conditions for several minutes or taking photos over an area larger than the region of interest.