Category: iPhone
Mobile LiDAR and photogrammetry workflows using iPhone, expanding access to 3D capture for field documentation, visualization, and rapid modeling.
From Point Clouds to Practical BIM Anyone familiar with traditional…
In this guest post, Ian George of Cosmic Oak Media…
Accurate burn wound measurement is critical for effective treatment, but…
iPhone Face ID Lidar or Something Else? Many assume the…
If you have an iPhone 12 Pro or later model,…
Apple’s new series marks a significant leap in iPhone repairability,…
The iPhone 16 Pro teardown is an event that many…
LiDAR is one of the new camera features on iPhone,…
The last few generations of the iPhone Pro and iPad…
Tech giant Apple began including LiDAR sensors in its mobile…
The iPhone 13 has taken the smartphone industry by storm…
Apple is set to improve the LiDAR scanner in its…
For the past six months I’ve been staring at the…
Continuing my quest for using lidar in newest phones to…
A developer has shared an interesting and artistic way to…
Traditionally, topographic surveying in earth sciences requires high financial investments,…
If you own an iPhone 12 Pro/Pro Max or iPhone…
Last year, Apple brought LiDAR scanning to its smartphone lineup (after…
Popular Posts
For many people, LiDAR is still strongly associated with autonomous vehicles: cars scanning roads, detecting pedestrians, cyclists, lane boundaries, and obstacles. This association makes sense because autonomous driving has been one of the most visible areas for LiDAR development. However, the future of LiDAR is not limited to vehicles. A more interesting question is what…
The Municipal Corporation of Delhi is using drones, GIS, and digital twin technology to identify unassessed properties while creating a comprehensive digital inventory of city assets. The Municipal Corporation of Delhi (MCD) has launched a pilot initiative that uses drones, GIS, and digital twin technology to identify unassessed and under-assessed properties across India’s capital city.…
Autonomous navigation has been built largely on optical sensing. Cameras, lidar, and sensor fusion systems reconstruct the world through reflected light, translating physical environments into spatial models that machines can interpret and act on. In most conditions, this approach works remarkably well. But it is fundamentally tied to visibility. Smoke, heavy snow, dust, fog, and…
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