TRUSTORYX.
Computer Vision Development Agency

Custom Computer Vision Systems & Real-Time Image Processing

We build and deploy high-performance computer vision systems using OpenCV, YOLO, PyTorch, and TensorFlow — engineering solutions for object detection, optical character recognition (OCR), image segmentation, and edge AI.

>30 FPS
Video Speed
>90%
Detection mAP
12+
Vision Apps Shipped
TensorRT
Edge Ready
Growth Obstacles

Problems This Solves

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Your business operations waste heavy hours manually inspecting products or transcribing visual documents.

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Off-the-shelf OCR software fails to read non-standard layouts, invoices, or handwriting correctly.

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You want to count objects or track movements in video streams but struggle to process frames without lag.

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You need to deploy AI vision models on low-power edge nodes (Jetson Nano, Raspberry Pi) with minimal footprint.

Methodology

Our Proven Process

1

Dataset Curation & Labeling

We gather sample images, clean annotations (bounding boxes, masks), and format dataset files.

2

Model Training & Tuning

We train YOLO or PyTorch models, tracking loss curves, precision, and recall metrics.

3

Pipeline Post-Processing

We write OpenCV filters, apply non-maximum suppression (NMS), and setup object trackers.

4

Model Quantization & Speedup

We quantize model parameters and compile runtimes to ONNX or TensorRT formats.

5

Deployment & Edge Setup

We wrap pipelines in Docker API endpoints or deploy compiled code on Edge AI board clusters.

Scope of Work

What's Included

Trained computer vision model weights (ONNX, TensorRT, or YOLO formats)
Validated image datasets containing clean COCO / YOLO label files
Python / C++ image processing code (OpenCV and PyTorch pipelines)
Custom OCR parsing modules extracting text tables to JSON data layouts
Model benchmark metrics reports detailing precision, recall, and FPS speeds
Docker configurations and edge board deployment scripts
30-day post-launch optimization support and model tracking warranty
Growth Targets

Expected Results

Video feed processing speed exceeding 30 FPS on target GPU cards

High-accuracy object detection scores above 90% mAP (mean Average Precision)

Precise OCR layout parsing turning invoices or slips to structured database fields

Compressed model sizes running locally on low-power edge devices

Stable camera feed ingestion utilizing multi-threaded RTSP frame readers

Tech Stack

Technologies We Master

OpenCV
YOLO
PyTorch
TensorFlow
TensorRT
ONNX
EasyOCR
Docker
Exhaustive Solutions

Comprehensive Capabilities

We don't just scratch the surface. Here is a detailed breakdown of everything we can engineer, optimize, and execute for your business.

Dataset Labeling & Formatting

Curating images and drawing bounding boxes, segmentation masks, or point markers in COCO formats.

Object Detection & Tracking

Training YOLO model frameworks and integrating object tracking filters (ByteTrack / DeepSORT).

Custom Document OCR

Designing deep document layout parsers converting invoices and forms to JSON databases.

Model Quantization & Speed

Compiling models to ONNX and TensorRT runtimes to maximize execution frame rates (FPS).

Image Segmentation

Implementing U-Net or Mask R-CNN models to identify precise object contours and boundary pixels.

Multi-Threaded RTSP Streams

Developing robust capture loops to read video frames from IP cameras without buffer delays.

Specialized Focus

Specialized Services

Explore our specialized engineering teams and tailored solutions for this domain.

Transparent Pricing

Investment Plans

Transparent pricing with no hidden fees. Every plan includes dedicated support and monthly reporting.

Foundational Vision MVP

$4,500USD · USD fallback/starting

Curation of up to 500 images, custom YOLO model training, and basic OpenCV API setup.

Up to 500 images labeled
YOLO object detection model training
OpenCV post-processing scripting
Basic REST API route integration
Docker container configuration
Evaluation report (mAP scores)
14-day post-launch support
Full model weights ownership
Build Vision MVP
Most Popular

Custom OCR Pipeline

$8,500USD · USD fallback/starting

Deep learning document parser, image preprocessing filters, OCR engine setup, and DB sync.

Deep learning layout parsing setup
Document preprocessing (deskewing)
OCR text extraction algorithms
Text cleanup & field validations
Relational database integration
Postman test collections included
30-day post-launch support
Automated error logs dashboard
Build OCR Pipeline

Real-Time Edge Vision

$18,000USD · USD fallback+/project

High-FPS video processing, object tracking, TensorRT model speedups, and Jetson edge deploys.

RTSP multi-threaded video stream loops
ByteTrack / DeepSORT tracking modules
TensorRT model compilation speedups
Jetson Nano / Xavier edge scripts
Custom analytics dashboard setup
Priority SLA support contracts
60-day post-launch support
24/7 Slack communication channel
Discuss Edge Vision Project

All plans are month-to-month with no long-term contracts. Custom enterprise plans available.Contact us for a tailored proposal.

Why Trustoryx

Why Choose Us

No Long-Term Contracts

Month-to-month engagements. We earn your business every single month.

Dedicated Team

A named strategist, not a rotating cast of juniors. Consistent point of contact.

Revenue-Focused

We report on revenue impact, not vanity metrics. Every dollar is attributed.

Rapid Execution

Strategy in week 1. Execution by week 2. Results tracked from day one.

Support

Frequently Asked Questions

Computer Vision is an AI field that trains computers to interpret and understand visual feeds. Machines extract data from digital photos or camera feeds to identify, classify, and track objects or events.
We typically recommend YOLO (You Only Look Once) models for real-time detection due to their high speed. For complex segmentation tasks, we build custom architectures in PyTorch or TensorFlow.
We build layout parsing models that identify text regions, table cells, and checkboxes, then run these fragments through OCR engines (like Tesseract, EasyOCR, or cloud services) for high-accuracy text extraction.
Yes. We quantize model weights, compile them to TensorRT (for NVIDIA devices) or OpenVINO (for Intel chips), and deploy them directly on edge hardware like Jetson Nano, reducing network bandwidth requirements.

Ready to Get Started?

Start with a free audit. We'll analyze your current performance and show you exactly where the growth opportunities are.

Or email our dedicated desk: ai@trustoryx.digital