Telit Cinterion VI Assistant vs Gaussian SplatKing

Telit Cinterion VI Assistant is a mobile application built to streamline industrial computer vision workflows through integration with the deviceWISE platform and deviceWISE AI Studio. Capture Mode - Displays a live preview from the iOS device’s camera. - Enables image capture and streaming directly to deviceWISE. - Supports both real-time monitoring and manual image acquisition. AI Model Deployment - Connects to deviceWISE AI Studio to retrieve trained image detection models. - Downloads and stores models locally for efficient, offline inference. On-Device Inference - Runs AI predictions on captured images using locally stored models. - Displays results in-app and optionally forwards them to deviceWISE for further processing. Integration with deviceWISE - Provides seamless data synchronization with the deviceWISE platform. - Optimized for edge computing and industrial automation environments. This app is intended for use in industrial automation, quality control, and edge AI applications where mobile image capture and real-time inference are required.

Gaussian SplatKing is a capture app for Gaussian splatting and radiance field reconstruction. It produces reconstruction-ready input data for any downstream pipeline and, for LiDAR captures, refines camera poses and trains a Gaussian splat on the device. Capture • Photo and video fire the 0.5x ultra-wide and 1x wide lenses simultaneously. A single-lens (1x) option, with RAW (DNG) photo capture, is available in Settings. • LiDAR mode pairs ARKit depth with the 1x wide lens, writes native COLMAP files (cameras, images, sparse points) on-device, and shows the point cloud as it accumulates. • 4K/30 HEVC video with Standard and Max Fidelity modes; optional undistorted video exports. • Auto photo cadence for walk-through capture, with a selectable interval. • Manual controls applied to both lenses: ISO, shutter speed or shutter angle, white balance, exposure, AF Lock, manual focus distance, tap-to-focus; a minimum shutter speed. • Optional capture location metadata, off by default. • iPhone and iPad. Process • Pose refinement: after a LiDAR capture, camera poses are refined on-device (feature matching and bundle adjustment) and recorded in the export. Free for everyone. • Train Splat (SplatKing Pro): train a Gaussian splat from a refined LiDAR capture on the device. No upload, no account. Output is an .spz file with an in-app viewer. Export • Every capture is a zip with media, metadata, COLMAP files where applicable, and splatpack.json, shared through the Files app or the share sheet to any pipeline. • Session quality summaries and per-file quality flags. SplatKing Pro is a one-time purchase that adds focus peaking, an RGB histogram, capture presets, the capture-interval selector, and on-device training. Everything that is free today stays free, and Pro never changes free capture quality. Analytics are anonymous and, in regions that require consent, off unless you opt in. Capture content never leaves the device unless you share it.