Engineered for partners and resellers in the remote sensing industry, RESEPI can be integrated with a variety of the industry leading LiDAR providers including: Velodyne, Quanergy, Ouster, RIEGL and Livox. RESEPI is also designed to work with RGB cameras such as the Sony A6000 or Blackfly FLIR, as well as thermal cameras to combine photogrammetry with point cloud generation. The processing platform contains a WiFi interface, embedded cellular modem to support RTCM corrections, data logging software and gigabit ethernet.
Equipped with an INS from Inertial Labs, RESEPI provides paper thin point clouds even at a high AGL. As a small, low power (4W without LiDAR) and ultra-lightweight (0.37 kg without LiDAR) system, RESEPI is designed to fit the size and power requirements of any project and allows the user to fly longer and collect more data. In addition, RESEPI’s highly automated software suite with fully automated RTK LAS file generation, along with a 1 click command line interface for post-processing, makes point-cloud generation fast and easy.
RESEPI is completely modular. You can supply the GNSS receiver. You can supply the LiDAR. Inertial Labs will provide everything for assembling, calibrating, and bore-sighting RESEPI. This allows you to maintain existing relationships and meet local production requirements. You have full control for customization.
RESEPI is also a complete remote sensing solution – LiDAR, all required cables, mounting brackets, vibration isolator, LiDAR calibration, bore-sighting, post-processing (PPK) and point cloud software. Value added resellers can white label RESEPI by adding their logo to all hardware and software. Inertial Labs will support and grow the product together to meet the market requirements with a commitment to supplying the best price/performance solution to our business partners. RESEPI is an ultra-affordable solution for extremely accurate remote sensing applications.
As the remote sensing market continues to progress, so do the necessary hardware and software solutions that enable partners to provide end-users with quality deliverables. The streamlined process provided by the RESEPI allows for one-click processing as well as real-time data output from the payload to assist in machine learning and localized mapping algorithm development. In future iterations of the RESEPI, the use of NVIDIA graphics will allow for even more in-depth computer vision and machine learning applications.
The RESEPI platform was built for growth. Whether your market is autonomous navigation (SLAM), surveying, or inspections for construction sites, RESEPI is built to fuel the projects of tomorrow. Future iterations of RESEPI are expected to have high-performance GPU’s and CPU’s to aid in bringing solutions to the world of autonomy.
- 0.37 kg without LiDAR
- 4W power consumption without LiDAR
- PPK/RTK with dual/single GPS-aided INS
- Up to 1 TB USB memory drive
- 3 – 5 cm point cloud accuracy
- WiFi & GSM with embedded WiFi and cellular modem
- Up to 200 m AGL (above ground level)
- USB camera interface
- Remote Sensing
- Precision Agriculture
- SLAM Algorithm Development
- Utility Inspection
- Construction Site Monitoring
|Weight:||0.37 kg (without LiDAR)|
|Power Consumption:||12 W (with VLP-16 LiDAR)|
|Position Accuracy (GPS-Aided INS):||0.5 cm (PPK estimated) / 1 cm + 1 ppm (RTK)|
|Attitude Accuracy (GPS-Aided INS):||< 0.01° Pitch & Roll; < 0.05° Heading|
|Precision (Point Cloud):||3 – 5 cm (dependent on LiDAR, taken on the same target @ 50 m AGL)|
|Scanner Field of View (FOV):||360° (depend on LiDAR selection)|
|Supported LiDAR Scanners:||Velodyne VLP, Quanergy, Ouster, RIEGL and Livox|
|Inertial Navigation System:||Inertial Labs INS-B-OEM; INS-D-OEM|
|Type of Recorded Data:||GNSS data for PPK; GNSS time-stamped INS & IMU data; GNSS timestamped LiDAR scans; GNSS time-stamps for camera strobe pulses|
The LiDAR Remote Sensing Payload Instrument (RESEPI) from Inertial Labs is available through Canal Geomatics. If you would like more information about this product, please feel free to get in touch with us by completing the Request Pricing form.