Softeq helped the client create a photo scanning red-eye removal solution, which automatically recognizes faces in a photograph, detects pupils, and applies corrections.
Our team implemented a desktop app that enables fast analogue photo processing and more convenient image management in line with the latest UX trends. The software performs on-the-go algorithm-based red eye reduction and does automatic/manual image enhancement along with color restoration. The desktop app automatically installs on a PC once the scanner is connected to the computer.
Desktop App for a Photo Scanner
Epson wanted to augment its next-gen photo scanning solution with powerful desktop software.Show Case Study
Softeq created a document-centric workflow management solution from scratch, capable of algorithmic processing of multimedia data captured by drones during rig inspections.
"In terms of project management, Softeq is bulletproof. They respond to things quickly, and they don't cheat by doing the bare minimum work to achieve the specs. They're apologetic if something doesn't work as planned, even if it's not their fault. And they turn around resolutions extremely quickly."
Drone-based Solution for Oil Rig Inspection
Sky-Futures wanted to max out the commercial application of drones. The company enhanced its offering with a first-on-the-market business process solution that automates major inspection workflows.Show Case Study
The app is designed to detect drug abuse. It scans the eye of person and then processes and analyzes the image.
The client developed an innovative idea to use the correlation between the pupil size and drug intoxication in order to detect drug abuse. They required the full cycle service for building a mobile solution and implementing it on Android, with tech support up to the product launch on Google Play.
CV-driven Eye Scan Algorithms for Defining Drug Intoxication
The client had an idea of using a correlation between the pupil size and the drug intoxication level, and needed a seasoned team of developers with a considerable portfolio of CV projects under its belt. Softeq demonstrated its competence, covering full-cycle app development, from the idea’s documentation to the final product’s launch on Google Play.Show Case Study
The AR-enabled iOS app prototype performs a multi-parameter analysis of the results video recorded with iPad Mini.
It defines athlete’s weak and strong points, breaks the video into frames with a slowmo playback, performs frame-based analysis, and adds special marks and indicators to it.
Mobile Sports App Prototype for a Global Brand
To improve athletes’ sports achievements, the client wanted to provide them with personally elaborated training programs. The software featuring digital imaging and video processing, built by Softeq, assesses their performance and evaluate their training.Show Case Study