Computer Vision & Multimodal AI

Real-time edge object detection, document OCR understanding, and multimodal video inference.

Engineering Overview

We engineer custom computer vision pipelines that extract structured intelligence from images, video streams, and scanned documents in real time. Deployed to edge devices or scalable GPU cloud containers.

Standard Architecture Deliverables

YOLOv8 & RT-DETR real-time edge object detection models

Visual OCR document parsing (Invoices, Receipts, Identity docs)

Segment Anything Model (SAM) zero-shot image segmentation

Sub-100ms video stream inference via WebSockets

Edge optimization for mobile and embedded devices (TensorRT / ONNX)

Our Build Process

Visual Data Labeling

Annotate and augment custom image/video dataset samples.

Model Training & Transfer

Fine-tune YOLOv8 / ViT weights with focal loss and data augmentation.

Inference Engine Setup

Export models to ONNX / TensorRT with batching optimizations.

Stream Deployment

Deploy WebSocket video processing endpoints with live telemetry.

Sprint Tiers & Options

Select the engagement structure that matches your product timeline.

3 Weeks

Vision MVP

Custom image classification or OCR document parsing endpoint.

Custom Vision Pipeline

OCR Schema Extraction

FastAPI Endpoint

30 Days Support

6–8 Weeks

Real-Time Video Suite

High-throughput live stream video analytics and object tracking.

YOLOv8 Real-Time Stream

TensorRT GPU Optimization

WebSocket Live Feed

60 Days Support

Monthly

Vision Pod

Continuous vision model retraining and camera feed scaling.

Dedicated Vision Lead

Edge Hardware Tuning

SLA 99.9%