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Computer Vision Systems background

Custom Computer Vision
& Visual Intelligence
Systems

Deploy automated visual inspection, real-time object tracking, and video stream analytics to automate quality control, physical security, and asset monitoring.

✓

Automated Quality Inspection: Detect manufacturing defects in milliseconds on production lines.

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Real-Time Video Analytics: Object detection, spatial counting, and safety compliance monitoring.

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Edge & Cloud Deployment: Optimized to run on edge hardware (NVIDIA Jetson) or cloud GPU clusters.

Problem & Solution

Manual Visual Inspections Are Inconsistent and Costly

Human visual inspection on manufacturing lines, assembly checks, and facility monitoring is subject to eye fatigue, missed defects, and high labor costs.

The Problem

Human inspectors miss micro-defects during fast production runs, leading to expensive product recalls and warranty claims.

The Problem illustration
The Solution

We train custom deep learning vision models that inspect products at high speeds with millisecond response times and consistent defect detection accuracy.

The Solution illustration

Core Capabilities

Automated Defect Detection

Identify micro-cracks, color variations, missing components, and surface flaws on high-speed manufacturing assembly lines.

Object Detection & Real-Time Tracking

Track physical assets, vehicles, inventory packages, and personnel across multi-camera CCTV feeds.

Optical Character Recognition (OCR) for Industry

Read serial numbers, barcodes, date stamps, and engraved text from metal, curved surfaces, and low-contrast materials.

Safety & Compliance Monitoring

Detect PPE compliance (helmets, vests), restricted zone incursions, and hazard risks in industrial workspaces.

150%

Reduction in Manual Workload

60%

Faster Decision-Making

3x

Improved Workflow Efficiency

40%

Task Automation Rate

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Technical Specifications

No Component Technical Framework
01 Model Architectures YOLOv8 / YOLOv10, Mask R-CNN, Vision Transformers (ViT), ResNet
02 Frameworks PyTorch, OpenCV, ONNX Runtime, TensorRT
03 Hardware Targets NVIDIA Jetson (Orin Nano/AGX), Intel OpenVINO, Cloud GPUs
04 Inference Latency 15ms – 40ms real-time edge processing

Implementation Process

A 7-week path from dataset collection to live on-site deployment.

WEEKS 1–2 01

Dataset Collection

Collect sample image/video datasets across lighting variations and camera angles.

WEEKS 3–4 02

Model Labeling & Training

Label datasets and train custom object detection and segmentation models.

WEEK 5 03

Model Optimization & Quantization

Optimize and quantize model weights with TensorRT for target hardware.

WEEKS 6–7 04

Deployment & Alerting

Deploy on-site or in the cloud with automated alert webhooks.

01 WEEKS 1–2

Dataset Collection

Collect sample image/video datasets across lighting variations and camera angles.

02 WEEKS 3–4

Model Labeling & Training

Label datasets and train custom object detection and segmentation models.

03 WEEK 5

Model Optimization & Quantization

Optimize and quantize model weights with TensorRT for target hardware.

04 WEEKS 6–7

Deployment & Alerting

Deploy on-site or in the cloud with automated alert webhooks.

Your Success Story Starts Here
Let’s Begin!

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Frequently Asked Questions

Got questions? We've answered the most common ones about working with RixDigi — from services to timelines to support.

FAQ illustration

Yes. We optimize vision models to run locally on edge devices (like NVIDIA Jetson or on-premise industrial PCs) with zero cloud dependency.

Automate Visual Inspections with Computer Vision

Book a 30-minute discovery call to evaluate your camera setups and visual automation requirements.

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Ready to Bring Enterprise-Grade AI into Your Operations?

Book a 30-minute discovery session with our engineering team to evaluate your workflows and identify your highest-impact AI opportunities.

Rixdigi Locations:

United Arab Emirates (Global Operations Hub)

Office 408, 4th Floor, Al-Wasal Building, Dubai.

+971 (050) 3495669

Pakistan (Regional Office)

Office 202, 2nd FLoor, Building #85, Shaheed-e-Millat Road, Karachi

+92 (030) 05002659

United States (Regional Office)

923 Elm St, Unit #9, Manchester, NH 03101

+1 (603) 6145703