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Detection, Tracking and Mixed Reality in the Real World

Computer Vision & XR

Techon Pixel builds applied computer-vision and mixed-reality systems: real-time object detection, anomaly detection, spatial and positional tracking, image processing pipelines and interactive installations that combine live camera feeds with rendered content.

Voxel illustration of a camera scanning a small street scene, with a car, a crate and a tree framed by detection brackets

The 3 Constraints Every Vision System Must Beat

  • 01

    Real-Time on Real Hardware

    Detection and tracking tuned to the cameras and machines you deploy on, no cloud round-trip hiding in the latency budget.

  • 02

    Accuracy You Can Operate

    Models trained and evaluated for your specific scope, with false-positive rates operators can live with and evidence trails they can review.

  • 03

    Experiences, Not Just Pipelines

    Mixed-reality composition, live overlays and installations that hold up in public, high-footfall environments.

How we deliver

    1. 01/06Feasibility & Scope
    2. 02/06Data & Model Strategy

    01Phase 1

    Frame it.

    We learn the goal, the users and the constraints first, so scope and priorities are clear before anything is built.

    1. 03/06Pipeline Engineering
    2. 04/06Application Build

    02Phase 2

    Make it real.

    Design and engineering move in short, visible cycles. You see working pieces early and steer them.

    1. 05/06Field Testing
    2. 06/06Deployment & Support

    03Phase 3

    Prove it, then grow it.

    Each piece is tested against real use before it goes wider, then refined from what we learn.

Related project

Automatic Crime Detector

Techon Pixel delivery95.1%

Final recorded accuracy of 95.1% before delivery on the trained detection scope.

Read the case study

Verified technology

  • Python
  • Django
  • OpenCV
  • Ultralytics YOLO
  • Email notification integration
Screens of the Automatic Crime Detector web application: the project landing screen, and a detection view showing a live webcam feed beside a detected-anomaly panel

Frequently asked questions

What computer-vision systems do you build?

Real-time object detection, anomaly detection, spatial and positional tracking, image-processing pipelines, and interactive installations that combine live camera feeds with rendered content.

Has this run in a live public environment?

Yes. A YOLO-based mixed-reality desktop application for the Uttar Pradesh Legislative Assembly went from start to live government demonstration in 42 days, built in partnership with Live Pixel and Mizzle Codes.

Does the detection run in the cloud?

No. Detection and tracking are tuned to the cameras and machines you deploy on, with no cloud round-trip hiding in the latency budget.

Your product remains yours

Clear confidentiality and IP terms. Your confidential information is never reused for another client's work.

Read the commitment

Have an idea? Let's build it.

Book a free 30-minute consultation, or write to us, you will always talk directly to the person who builds your product.

Techon Pixel · info@techonpixel.com