LFT Industries

Computer Vision

Pose estimation, motion analysis, and real-time image or video inference built into web and mobile applications.

Computer vision development covers systems that extract meaning from images or video in real time: pose estimation, motion tracking, and visual feature analysis, integrated into a web or mobile application.

Who this is for

Products that need to understand movement or visual input as part of their core functionality — rehabilitation and fitness applications, interactive interfaces, or scientific and healthcare tools that rely on visual analysis.

Capabilities

  • Pose estimation and human movement analysis
  • Real-time camera-based interaction
  • Visual feature extraction and image inference
  • Integration of vision models into web and mobile applications

Delivery process

The visual task is defined precisely (what needs to be detected or measured, at what accuracy and latency), the model is trained or adapted, and the resulting inference pipeline is wired into the application's real-time interface.

Relevant technologies

PyTorchKerasFastAPIAWS

Evidence

Related engineering work

AI SystemsAI / ML

AI Rehabilitation & Motion Analysis Platform

A web application for rehabilitation-oriented movement analysis, combining motion capture with AI-assisted feedback.

LaravelReactPythonPyTorch

FAQ

Common questions

What kinds of computer vision projects have you built?
Movement and pose-based analysis for a rehabilitation platform, and gesture-based interaction for an experimental interface, are both part of the engineering experience behind LFT.
Does computer vision require special hardware?
Most of the work is camera-based, using a standard device camera (webcam or phone) rather than specialized hardware, with inference running through a deployed model.

Ready to talk through your computer vision project?

Solutions are scoped around your vision, requirements, and budget. No fixed pricing, no obligation.