Track Record des Gründers42 days

Real-time object detection and three-dimensional tracking for a government mixed-reality experience

Delivered in 42 days and demonstrated live at the State Legislative Assembly.

A mixed-reality "Selfie Point" desktop application for the Lucknow Vidhan Sabha: live camera feed, real-time object detection and positional tracking compositing visitors into mixed-reality content, delivered in 42 days.

A public mixed-reality installation for the Uttar Pradesh Legislative Assembly, operated as a desktop application in a live government environment.

Rolle: Computer-vision and application engineering

Delivered in partnership with Live Pixel and Mizzle Codes.

Abstract detection planes with corner brackets and tracked points — Illustration — detection frames and tracked points

From start to government demonstration: 42 daysFrom start to government demonstrationFounder track record
Detection and compositing, on local hardware: Real timeDetection and compositing, on local hardwareNo cloud round-trips
Public installation at the State Legislative Assembly: LivePublic installation at the State Legislative AssemblyLucknow Vidhan Sabha

Das System

Was tatsächlich gebaut wurde

Live camera feed captured and processed in real time
YOLO-based object detection on every frame
Spatial and positional tracking of detected subjects
Mixed-reality composition of live subjects with rendered content
Desktop application packaging for on-site operation

Warum es schwierig war

Technische Komplexität

Real-time detection and compositing on local hardware, no cloud round-trips
A fixed 42-day window ending in a live public demonstration
Operating reliably in an uncontrolled, high-footfall environment

Produkterlebnis

Aus dem ausgelieferten System

The mixed-reality desktop application running on a tablet: a subject tracked inside a three-dimensional wireframe bounding box, with selectable subject thumbnails below — Detection and 3D tracking in the delivered app

The mixed-reality application in a window, showing the Uttar Pradesh Legislative Assembly header, an environments panel and three selectable environment tiles over a live camera background — Environment selection over the live camera feed

Mixed reality desktop application demonstrated at the Uttar Pradesh State Legislative Assembly — Demonstration at the State Legislative Assembly

Technologie

Verifizierter Stack

Aufgeführt sind ausschließlich Technologien, die im Quellcode, in der Projektdokumentation oder im Live-Deployment bestätigt wurden.

Python
OpenCV
YOLO object detection
Real-time image processing
Three-dimensional tracking

Lieferung

Umfang der Verantwortung

Detection and tracking pipeline
Mixed-reality composition
On-site delivery

Verwandt

Verwandte Systeme

Lieferung durch Techon Pixel

Automatic Crime Detector95.1%

A Django web application that analyses webcam and uploaded video frame by frame with trained YOLO models, captures anomalies with timestamps and sends automated email alerts, with remote web access.

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

Veröffentlichtes Kundenergebnis

American Way Health$430M+

A production voice-AI operation for American Way Health, built around Bland AI. The engineering contribution here is the production layer that keeps the agent calling, compliant and measurable at 400K+ calls per month.

Ein System mit vergleichbarer Komplexität bauen

Buchen Sie eine kostenlose 30-minütige Beratung oder schreiben Sie uns — Sie sprechen immer direkt mit der Person, die Ihr Produkt baut.

Kostenloses 30-Minuten-Gespräch buchen Projekt starten

Techon Pixel · info@techonpixel.com