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Deploy automated visual inspection, real-time object tracking, and video stream analytics to automate quality control, physical security, and asset monitoring.
Human visual inspection on manufacturing lines, assembly checks, and facility monitoring is subject to eye fatigue, missed defects, and high labor costs.
Human inspectors miss micro-defects during fast production runs, leading to expensive product recalls and warranty claims.
We train custom deep learning vision models that inspect products at high speeds with millisecond response times and consistent defect detection accuracy.
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
A 7-week path from dataset collection to live on-site deployment.
Collect sample image/video datasets across lighting variations and camera angles.
Label datasets and train custom object detection and segmentation models.
Optimize and quantize model weights with TensorRT for target hardware.
Deploy on-site or in the cloud with automated alert webhooks.
Collect sample image/video datasets across lighting variations and camera angles.
Label datasets and train custom object detection and segmentation models.
Optimize and quantize model weights with TensorRT for target hardware.
Deploy on-site or in the cloud with automated alert webhooks.
Frequently Asked Questions
Can these models run on local hardware without internet access?
Yes. We optimize vision models to run locally on edge devices (like NVIDIA Jetson or on-premise industrial PCs) with zero cloud dependency.
How many images do we need to train a custom vision model?
Using transfer learning on pre-trained vision backbones, we can build custom defect detection models with as few as 200–500 labeled sample images.
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 is an AI and workflow automation engineering agency building private, production-ready AI solutions for modern enterprises.
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Important Links
Rixdigi Locations:
United Arab Emirates
Office 408, 4th Floor, Al-Wasal Building, Dubai.
+971 (050) 3495669
Pakistan
Office 202, 2nd FLoor, Building #85, Shaheed-e-Millat Road, Karachi
+92 (030) 05002659
United States
923 Elm St, Unit #9, Manchester, NH 03101
+1 (603) 6145703