RECENT PROJECTS

In year 2020, we are very proud to be awarded with a project of surveying and mapping for NE railroad (608km) Thailand. We apply all advanced equipments to deliver high-class data quality including Drone, GNSS surveying gear, and REIGL-VZ400i.  

Railway Mapping [2020]
Carrying Capacity Study Project (Tourism) : DASTA, Thailand (2015)

To sustain an island enviroment, the project is initiated and aims to deliver the solution for Kho Lan Island where is a popular island near Pattaya, Thailand. Currently, more visitors come to this island via boat and of course some of them stay for few days here. According to hotels availability, it becomes difficult when more visitors. Whenever demand is high, then the supply become problem. This is just only one example from hotel. There are many more effected things for example restaurant, drinking water, parking space, garbages management, and so on.

 

At last, recomendation will be reported including spatial and non-spatial management plan. 

Land Parcel Management : DOL, Thailand (2014)

Project aims to develop web application solution including data input, edit, retrieval, and report in one windows. Of course, main data is a parcel map which has more than a million map sheet. Team has to develop a system to carry on all original aerial photograph, parcel map for country. You can imagine how big of infrastructure and backbone to facilitate this task. 

 

We integrated all commercial and opensource solution together with precise optimization on system. This project makes us a bit stronger from huge data hadling. Thank for team.

Water Quality Sensor :
ROE8, Thailand (2014)

With need to monitor water quality of Petchaburi river and its stream network, there are 5 stations to be installed and implemented through centralized data server. Specific parameters for example DO,pH, NH3, NO3, Conductivity, and Temperature are monitored and reported through website. This project results not only a system, but also document written as scenario for next 5, 10, 20, 40 years based on MIKE-11 approach.  

Railway Project aims to produce Orthophotos from Drone with GSD (2.50cm). We are running on GNSS network setting up through NE rail line and will transfer more accurate NEZ coordinates to topographic survey with Drone and Terrestrial Laser Scanning, Finally, CAD and GIS data are reported with their attributes. 

Of course, REIGL-VZ400i takes a major role in topographic survey at stations and area surrounding. There are 608 km long distance that we have to do surveying and making maps. This project is very challenging with 5 staff and short period of working in a year. Thank for our team effort.

Statistical Map Datacenter : NSO, Thailand (2015) 

The solution is set to assist the NSO field operators to work accurately and quickly. This comes with an designed map datacenter for task management and monitoring. Opensource, QIS, and android based application were developed and implemented as prototype. EA boundary and household information were surveyed and made through a designed system. Another hoosehold database is also linked to this mapdata server in order to generate EA code and related information automatically. This project now is on process of implementation for whole country. 

Human Counting System, (2016)

We design a new layout by the metal plate with Intel NUC and watchdog circuit. The local processing unit consists of the following hardware: Intel NUC with Intel Core i5­5250U 1.6GHz (2 cores 4 threads)​, Watchdog System, Surge protection, and UPS. 

This shows in positive result of measurement. The regression model is developed and reported in 0.95 which satisfy our objective of human counting. The statistical data of testing can be seen here as follows

Call:

lm(formula = sw ~ mapper)

 

Residuals:

   Min     1Q Median     3Q    Max

-43.75 -21.51  -9.09  10.80  74.47

 

Coefficients:

             Estimate Std. Error t value Pr(>|t|)   

(Intercept) -22.89987   28.97656   -0.79    0.459   

mapper        1.07782    0.09187   11.73 2.31e-05 ***

---

Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

 

Residual standard error: 40.14 on 6 degrees of freedom

Multiple R-squared:  0.9582,       Adjusted R-squared:  0.9513

F-statistic: 137.6 on 1 and 6 DF,  p-value: 2.314e-05

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