AI Lowers Processing Time And Cost By 99% | Case Study

What Was the Challenge?

Expensive manual image processes were turning profitable projects into loss-makers:

Time Intensive

Designers spent 2-3 hours per image on background removal

Processing Bottlenecks

Processing 1000+ images weekly created severe bottlenecks

Quality Demands

High-quality AR/VR experiences demanded pixel-perfect results

Cost Burden

Outsourcing costs reached $10 per image, eating into project margins

Core Objectives

Transform image processing from a costly bottleneck into a competitive advantage:

Instant Processing: Achieve instant, high-quality background removal.

Quality Standards: Maintain premium quality standards for AR/VR applications.

Cost Reduction: Reduce per-image processing costs by 80%

Scalable Capacity: Scale image processing capabilities without hiring

Our Solution

We deployed an AI-powered image processing system that automated background removal with pixel-perfect precision and 95% time savings through:

Computer Vision

Advanced computer vision models trained on AR/VR-specific image types

Precision Technology

Edge detection and semantic segmentation for pixel-perfect results

Batch Capabilities

Batch processing capabilities for handling multiple images simultaneously

Quality Control

Quality control algorithms ensuring AR/VR-ready output standards

Impact & Results

From 2 hours to 3 seconds per image processing time.

99% cost reduction: From $10 to $0.1 per image processed.

Perfect quality maintained: No compromise on AR/VR standards.

500% productivity increase: Same team now handles 5x more projects

About the Client

VreonTech, headquartered in Chennai, is a pioneering AR/VR–XR solutions provider, delivering cutting-edge immersive experiences across industries, education, and entertainment. The company is recognized for redefining digital interaction through innovation and expertise.

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