Development of a portable community video surveillance system

In 2016, a crime rate has been evidently increasing particularly in Kuala Lumpur areas, including reports on house break-ins, car thefts, motorcycle thefts and robbery. One way of deterring such cases is by installing CCTV monitoring system in premises such as houses or shops, but this usually requires expensive equipment and installation fees. In this paper a cheaper alternative of a portable community video surveillance system running on Raspberry Pi 3 utilizing OpenCV is presented. The system will detect motion based on image subtraction algorithm and immediately inform users when intruders are detected by sending a live video feed to a Telegram group chat, as well as sound the buzzer alarm on the Raspberry Pi. Additionally, any Telegram group members can request images and recorded videos from the system at any time by sending a get request in Telegram which will be handled by Telegram Bot. This system uses the Pi NoIR camera module as the image acquisition device equipped with a 36 LED infrared illuminator for night vision capability. In addition to the Python language, OpenCV, a computer vision simulation from Intel is also used for image processing tasks. The performance analysis of the completed system is also presented computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output

Development of portable automatic number plate recognition (ANPR) system on Raspberry Pi

ANPR system is used in automating access control and security such as identifying stolen cars in real time by installing it to police patrol cars, and detecting vehicles that are overspeeding on highways. However, this technology is still relatively expensive; in November 2014, the Royal Malaysian Police (PDRM) purchased and installed 20 units of ANPR systems in their patrol vehicles costing nearly RM 30 million. In this paper a cheaper alternative of a portable ANPR system running on a Raspberry Pi with OpenCV library is presented. Once the camera captures an image, image desaturation, filtering, segmentation and character recognition is all done on the Raspberry Pi before the extracted number plate is displayed on the LCD and saved to a database. The main challenges in a portable application include crucial need of an efficient code and reduced computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output

SIMULTANEOUS TWIN CUTTER TECHNIQUE FOR MACHINING THIN WALL LOW RIGIDITY PART

Machining of low rigidity components such as aerospace monolithic part poses several challenges. In common manufacturing practice, the wall thickness is further reduced by peripheral milling that lead to surface dimensional error resulting in tolerance violation. The surface errors are mainly induced by the acts of cutting force, which deflect the wall on the opposite direction. Additional post machining process are generally employ to compensate with the excessive error that leads to increase the production cost. Therefore, this paper aim to solve the discrepancies with the current techniques by using a simultaneous twin cutter machining technique. An in-house twin cutter adapter has been developed to transmit the rotation from the machine spindle. A set of machining test was performed to assess the effectiveness of the propose technique. The results indicated that the deflection of the thin wall part can be neglected and hence minimize the surface errors since the same cutting forces acts on both opposite sides of the wall surface. In addition, the proposed technique able to reduce the machining time up to 50 percent as the wall structure are machined with only one single pass

Contrasting Patterns of Coral Bleaching Susceptibility in 2010 Suggest an Adaptive Response to Thermal Stress

Background: \ud Coral bleaching events vary in severity, however, to date, the hierarchy of susceptibility to bleaching among coral taxa has been consistent over a broad geographic range and among bleaching episodes. Here we examine the extent of spatial and temporal variation in thermal tolerance among scleractinian coral taxa and between locations during the 2010 thermally induced, large-scale bleaching event in South East Asia.\ud \ud Methodology/Principal Findings: \ud Surveys to estimate the bleaching and mortality indices of coral genera were carried out at three locations with contrasting thermal and bleaching histories. Despite the magnitude of thermal stress being similar among locations in 2010, there was a remarkable contrast in the patterns of bleaching susceptibility. Comparisons of bleaching susceptibility within coral taxa and among locations revealed no significant differences between locations with similar thermal histories, but significant differences between locations with contrasting thermal histories (Friedman = 34.97; p,0.001). Bleaching was much less severe at locations that bleached during 1998, that had greater historical temperature variability and lower rates of warming. Remarkably, Acropora and Pocillopora, taxa that are typically highly susceptible, although among the most susceptible in Pulau Weh (Sumatra, Indonesia) where respectively, 94% and 87% of colonies died, were among the least susceptible in Singapore, where only 5% and 12% of colonies died.\ud \ud Conclusions/Significance: \ud The pattern of susceptibility among coral genera documented here is unprecedented. A parsimonious explanation for these results is that coral populations that bleached during the last major warming event in 1998 have adapted and/or acclimatised to thermal stress. These data also lend support to the hypothesis that corals in regions subject to more variable temperature regimes are more resistant to thermal stress than those in less variable environments

Simultaneous twin cutter technique for machining thin wall low rigidity part

Machining of low rigidity components such as aerospace monolithic part poses several challenges. In common manufacturing practice, the wall thickness is further reduced by peripheral milling that lead to surface dimensional error resulting in tolerance violation. The surface errors are mainly induced by the acts of cutting force, which deflect the wall on the opposite direction. Additional post machining process are generally employ to compensate with the excessive error that leads to increase the production cost. Therefore, this paper aim to solve the discrepancies with the current techniques by using a simultaneous twin cutter machining technique. An in-house twin cutter adapter has been developed to transmit the rotation from the machine spindle. A set of machining test was performed to assess the effectiveness of the propose technique. The results indicated that the deflection of the thin wall part can be neglected and hence minimize the surface errors since the same cutting forces acts on both opposite sides of the wall surface. In addition, the proposed technique able to reduce the machining time up to 50 percent as the wall structure are machined with only one single pass

Comparison of sea temperatures and thermal stress during 1998 and 2010.

<p>Weekly mean sea surface temperatures (°C) and maximum monthly mean (MMM) temperatures (top row) and thermal stress in degree heating weeks (DHW) (°C-weeks) above MMM in 1998 and 2010 (bottom row) for (A) Pulau Weh; (B) Singapore; and (C) Tioman Island. Blue lines are SST and DHW from 1998, red lines are from 2010 and the gray line is MMM. Values for maximum degree DHW > MMM in 1998 and 2010 are shown.</p

Bleaching and mortality response of coral genera from three study locations.

<p>Data are proportions of colonies (%) that were not bleached (normal), moderately bleached (uniformly pale or <50% of colony bleached), severely bleached (>50% of colony bleached) or recently dead and the bleaching and mortality index (BMI) for corals in all genera that were surveyed in Pulau Weh (21 weeks after temperatures exceeded maximum monthly mean), Singapore and Tioman Island (25 weeks after temperatures exceeded maximum monthly mean). BMI for Pulau Weh is ranked in descending order for comparison within taxa and among sites.</p

Comparison of long-term thermal histories.

<p>Monthly mean sea surface temperatures from January 1951 to December 2010 for (A) Pulau Weh; (B) Singapore and (C) Tioman Island. The linear regression is shown by the straight black line and the equation shows the average rate of temperature increase.</p

Results of Friedman test and Dunn's multiple comparisons of bleaching and mortality response within taxa and among locations.

<p>Friedman statistic = 34.97, n = 15, p<0.0001.</p>***<p> = p<0.001, GBR = Great Barrier Reef.</p