Barring a few niche areas, LiDAR has not been widely adopted. However, that’s going to change soon as more and more companies are inkling towards Web-based AI service for analyzing LiDAR data for their benefit, people, and society.
LiDAR is an acronym for a remote sensing system known as light detection and ranging. LiDAR is a high-end remote sensing technology that uses light in the form of a pulsed laser to measure distances (ranges) to and from a point. A LiDAR sensor flashes beams of laser light and then measures how long it takes for the light to return to the sensor.
Barring a few niche areas, LiDAR has not been widely adopted. However, that’s going to change soon as more and more companies are inkling towards Web-based AI service for analyzing LiDAR data for their benefit, people, and society.
LiDAR technology has been around for some decades. However, only now that with the costs associated with building and using LiDAR systems coming down, the technology is being tapped for more and more applications. The latest generation of iPhones and iPads have LiDAR sensors embedded in them for use with AR uses.
With Web-based AI, LiDAR service providers can reach out to a broader audience through the Web. Anyone with a Web browser can now upload their LiDAR data into an AI system and receive the output quickly, thanks to automation.
With Web-based AI, users can take a raw point cloud and do segmentation or classification to what the points represent – trees, cars, or buildings. This is possible when service providers use 3-D models instead of traditional 2-D models. With 3-D models, feature extraction can be done with high accuracy and detail thanks to automation. With the GPU and CPU resources, one can maximize the benefits by running the cloud system.
The Web-based LiDAR system can be so efficient that it can revolutionize how the data is analyzed, empowering the clients without the need to have LiDAR experts.
Earlier, clients would in-person inspect a few thousand miles of telecom or power infrastructure lines to make sure that there were no interruptions due to natural hurdles like landslides or trees falling on the wires or a mid-way snap.
With LiDAR, images can be captured before and after installations and then use AI, followed by the automation, can interpret the images and ensure both the cost and the time calculations.
Why Techwave:
At Techwave, we strive to be a world-class lighting technology provider. With that role comes the responsibility to be intimately familiar with newer applications and help our partners understand the real value in them.
Techwave’s Web-based user experience, both internal and external, reduces the office skillset and increases availability across multiple geographies in the organization.
Techwave believes in providing LiDAR data-as-a-service, expanding the client offerings, new revenue stream through tool development to semi-automate feature extraction, and Landbase creation.
Techwave has been innovative in seamlessly integrating point cloud datasets from multiple LiDAR sensors such as airborne LiDAR systems, stationary scanning systems, and vehicle-based or “mobile mapping” scanning systems. Applications include
- Engineering design level topographic mapping
- Terrain modeling for floodplain management
- Electrical transmission utility as-builts
- Urban forestry, and many others.
To know more about Techwave’s LiDAR services and offerings, click here.
Nature is unpredictable, and when furious, can threaten humanity depending on their habitats. LiDAR can be extensively used with emerging technologies like AI and other technology-based processing methods to reduce the risks of natural calamities. Techwave is committed to applying technology to address real-world problems