• Tbox OBDii GPS Tracker for Cars and Heavy Duty Trucks
  • Tbox OBDii GPS Tracker for Cars and Heavy Duty Trucks
  • Tbox OBDii GPS Tracker for Cars and Heavy Duty Trucks
  • Tbox OBDii GPS Tracker for Cars and Heavy Duty Trucks

Tbox OBDii GPS Tracker for Cars and Heavy Duty Trucks

Model NO. T-229L

Sinocastel T-229L is a Tbox OBDii GPS tracker with 4G LTE WiFi hotspot and bluetooth, supports reading CANBUS J1708 and J1939 systems. With multiple I/O interfaces, it can connect with various accessories such as camera, temperature sensor, RFID reader/RFID card, door sensor, microphone, speaker, SOS, etc. for various vehicle tracking applications. 



Act as an in-Vehicle WiFi hotspot, up to 8 WiFi enabled devices can be connected to share high speed 4G LTE network.


Realtime Tracking

Can report the real-time location according the time interval ,distance,heading change.

Driving Behavior

Including speeding, hard acceleration, hard deceleration etc.

Battery Monitor

Can report the battery voltage realtime to monitor the battery status.


Fuel Consumption

Statistics the trip fuel consumption.

Engine Data

Read engine data and diagnostic trouble codes (DTC) for proactive vehicle maintenance.


Statistics the trip mileage.

Remote Power off

Remote power off the engine via connect a relay.

Size 140mm (L) * 74mm (W) * 28mm (H)
Weight 100g
Digital Input 6 digital inputs, One for ignition detection input, one for SOS button input, four for general use
Digital Output 5 digital outputs, One for relay control, four for general use
Analog Input 3 analog inputs
Engine 2 high speed CAN bus
Communication Port One RS-232 port and one RS-485 for external device connection or one USB port for internet access
Audio One differential MIC input, one differential speaker output
Configuration Port Micro-USB
SIM Card Socket Micro SIM, Push-Push type
Data Transmission Packet data (GPRS/HSPA/LTE) and SMS
Positioning Method GPS
Storage 8MB FLASH, up to 96,000 GPS data storage
CAN Protocol ISO 15765-4, SAE J1939
Working Voltage 9-36VDC
Working Current Max.: <200mA@13.8/27.6VDC
Average: <150mA@13.8/27.6VDC
Sleep mode: <5mA@12/24VDC
Backup battery 500mAH
GPS Receiving satellite frequency: 1575.42mhz (GPS L1)
Positioning time:
Cold start: about 23s (typ.)
Warm start: about 2s (typ.)
Hot start: <1s (typ.)
Positioning accuracy:
Horizontal position accuracy: 3m CEP (typ.)
Speed accuracy: 0.1m/s (typ.)
Receiving sensitivity:
Trace: -165dbm (typ.)
Capture: -148 dbm (typ. Cold start)
Refresh frequency: 1Hz
WiFi Frequency: 2.4-2.4835GHz
WLAN Standard: 802.11b/g/n
Transmission Data:
Cellular Frequency (T-229LE, Europe):
FDD LTE B1/B3/B5/B7/B8/B20
TDD LTE B38/B40/B41
GSM 900/1800MHz
Frequency (T-229LA, US):
LTE-FDD Max 150Mbps (DL)/50Mbps (UL)
LTE-TDD Max 130Mbps (DL)/35Mbps (UL)
HSPA+ Max 42Mbps (DL)/5.76Mbps (UL)
Network protocol: Embedded TCP/IP stack
6-axis IMU Driving behavior detection
LED Indication GPS/Cellular/Power indication
  Cellular Antenna External
WiFi Antenna Internal
GPS Antenna Internal or external
  Working Temperature -30℃ ~ +70℃
Storage Temperature -40℃ ~ +85℃
Humidity 5%~95%(no fog)

Use Case

Construction Vehicle Monitoring of Rogum Dam Project

OBDii GPS Tracker T-229L was applied to the construction vehicles of the Rogum Dam construction project to realize the real-time GPS positioning of the construction vehicles, and to solve the management and scheduling problems of the vehicles and drivers in the project.

Pain Point

2-3K vehicles are used at the project site, including excavators, road rollers, and vehicles for transporting sand, cement, and other construction materials. These are purchased or rented by client companies. Some of the drivers are employees of the company, and some are residents hired to build the dam. The main pain points of our customers are the management of construction vehicles and drivers, and how to settle wages for drivers scientifically and reasonably.

In the past, their driver's salary was calculated based on the number of times the driver transported building materials from the bottom of the mountain to the top of the mountain, which was regarded as a valid trip. The driver declares the number of trips by himself, and the company determines the driver's salary according to the number of trips and the cost of each trip. The disadvantage of this payment method is that drivers can misreport the number of trips, and managers cannot check the authenticity of the reported trips due to a lack of effective supervision. This will also lead to some drivers being lazy or abusing the company's vehicles, eventually leading to confusion in the management of the company's vehicles and drivers.


OBDii GPS tracker T-229L + camera + microphone + speaker + RFID reader

  • With the RFID reader: The driver of each vehicle can be fixed.
  • With the camera: The manager can check whether the driver is in the vehicle at the specified time, and can also determine whether it is the driver himself.
  • With the microphone and speaker: When the vehicle is turned off due to a fault or an emergency occurs, the manager can get in touch with the driver in time and arrange scheduling. And the drivers can also contact each other.

Customized platform

  • Realize real-time GPS positioning and real-time monitoring of the project vehicle.
  • Realize the reading and viewing of vehicle OBD data (including mileage, engine RPM, vehicle speed, engine coolant temperature, total fuel consumption, remaining fuel consumption, instantaneous fuel consumption, etc.), which is convenient for the manager to understand the usage of the vehicle, and arrange timely maintenance based on these data, etc.
  • Entering & Leaving Working Area Alarm
The driver transports the building materials from the foot of the mountain to the top of the mountain, which is an efficient trip. But how do you determine when the vehicle leaves the foot of the mountain? When does it reach the top? And how do you determine the exact location of the start and end points? Using the geofence to set the alarm for entering and leaving the area can solve this problem very well.

First take the starting point at the foot of the mountain as the loading point, and then determine a unloading point at the top of the mountain, and use the geo-fence to encircle the range of the loading point and the unloading point, so as to determine the driver scope of work. And set the driver's parking time at two points according to the time required for loading and unloading goods, so as to avoid the situation of the driver being slow to work or abusing the company's vehicle. And calculate the time usually required for an effective transportation (from the loading point to the unloading point), the platform can automatically count and use algorithms to calculate the number of trips a driver makes in a day and a month, so that managers can manage drivers and vehicles scientifically and efficiently, and reasonably settle the driver's wages.

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