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The FOIF RTS352 is a conventional reflectorless total station designed for surveying, construction layout and engineering field applications. It combines 2″ angle accuracy with reflectorless measurement up to 600 m or 1000 m, depending on the EDM configuration.
The RTS352 uses Windows CE 7.0 with FOIF FieldGenius and FOIF Survey software. Its 3.5-inch color touchscreen, illuminated keyboard and multiple communication interfaces provide a practical platform for routine field surveying.
RTKSurvey.com supplies the FOIF RTS352 for surveying contractors, engineering companies and construction teams.
Key Features
2″ angle accuracy
30× telescope
Reflectorless measurement up to 600 m or 1000 m
Prism measurement up to 5000 m
Windows CE 7.0
3.5-inch color touchscreen
FOIF FieldGenius and FOIF Survey software
Illuminated keyboard
Dual-axis compensator
USB, RS-232C and optional Bluetooth
IP54 protection
Why Choose the FOIF RTS352?
The RTS352 provides a straightforward surveying platform for users who prefer a conventional total station with established field software. Its reflectorless EDM allows measurement of difficult or inaccessible points, while prism measurement provides longer-range conventional surveying.
The illuminated keyboard and sunlight-readable display are useful for field operation in different working conditions.
For users looking for a practical 2″ reflectorless total station with WinCE-based surveying software, the RTS352 remains a useful option within the FOIF range.
Core Specifications
Angle accuracy: 2″
Telescope magnification: 30×
Reflectorless range: up to 600 m or 1000 m
Prism range: up to 3000 m / 5000 m
Prism accuracy: 2 mm + 2 ppm
Compensator: Dual-axis
Compensation range: ±3′
Display: 3.5-inch color TFT touchscreen
Operating system: Windows CE 7.0
Memory: 4GB
Battery: 3400mAh
Working time: approximately 5 hours
Protection rating: IP54
Applications
Construction surveying
Reflectorless surveying
Topographic surveying
Engineering surveying
Building layout
Stakeout
Road projects
Traverse surveying
General field data collection
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