As digital commerce continues to grow, ensuring product images are clear, legible, and instantly understandable has become critical.
Neem identified a gap in the market and developed RHINO, a glance readability testing platform that enables brands to assess product imagery at scale, improving accessibility, strengthening glance readability, and increasing click-through performance.
Overview:
Testing product imagery for accessibility and glance readability was traditionally manual, subjective, and time-consuming.
Neem developed RHINO as a glance readability testing platform capable of running accessibility and clarity tests in bulk.
By combining APCA contrast testing and Cambridge Clarity methodologies, RHINO enables brands to improve glance readability, ensure compliance, and optimise digital shelf performance.
Client Snapshot
- Client: Neem SaaS Product
- Industry: CPGs and Global Brands
- Type: Software Development
- Challenge: Automate APCA Contrast and Cambridge Clarity tests in bulk
Services delivered
- Software development
- AI-powered image testing
- Accessibility framework integration
Neem developed RHINO as a glance readability testing platform to address the growing need for scalable image validation and performance optimisation.
“An absolute game changer of a quote goes here over a few lines… probably three for best”
The Challenge: Lack of Scalable Glance Readability Testing
Testing image accessibility and glance readability was historically manual and inconsistent. There was no scalable solution available to assess readability across large volumes of product imagery.
1. No Automated Testing Framework: There was no reliable method to assess glance readability at scale.
2. Manual and Subjective Testing: Existing processes relied heavily on human judgement, leading to inconsistent results.
3. Cambridge Clarity Constraints: The Cambridge Clarity test required manual input and needed structured integration.
4. No Existing Benchmark: With no comparable tools available, RHINO had to be developed from the ground up.
The Core Challenge
Develop a scalable glance readability testing solution capable of delivering objective, bulk image validation.
The Neem Approach: Building a Glance Readability Testing Platform
Neem implemented an iterative, research-led approach to develop the glance readability testing platform.
1. Proof of Concept (POC):
Initial prototypes validated the feasibility of automating glance readability testing and accessibility checks.
2. Identifying the Right Technologies:
Azure Computer Vision (OCR) was selected to accurately detect text regions within product images.
3. Scaling APCA Testing:
The APCA algorithm was integrated and scaled to process large volumes of images efficiently.
4. Cambridge Collaboration:
Only RHINO provides University of Cambridge-calibrated legibility scores for mobile shelves, using academic research data developed by Dr Sam Waller.
This enabled objective, scientifically grounded measurement of glance readability, moving beyond subjective visual assessment.
1. Proof of Concept (POC):
Initial prototypes validated the feasibility of automating glance readability testing and accessibility checks.
2. Identifying the Right Technologies:
Azure Computer Vision (OCR) was selected to accurately detect text regions within product images.
3. Scaling APCA Testing:
The APCA algorithm was integrated and scaled to process large volumes of images efficiently.
4. Cambridge Collaboration:
Only RHINO provides University of Cambridge-calibrated legibility scores for mobile shelves, using academic research data developed by Dr Sam Waller.
This enabled objective, scientifically grounded measurement of glance readability, moving beyond subjective visual assessment.
Key Capabilities
To deliver this glance readability testing platform, Neem provided:
Bulk Image Accessibility Testing: Automated testing of large volumes of product imagery.
Glance Readability Testing at Scale: Enabled consistent and measurable glance readability across all assets.
Accessibility Compliance Framework: Aligned with APCA and EEA accessibility standards.
Branded SaaS Product: Developed RHINO as a scalable, market-ready solution.
Impact & Outcomes: Glance Readability Testing Results
The glance readability testing platform transformed how product imagery is assessed and optimised.
Glance Readability at Scale: RHINO enables consistent glance readability validation across thousands of images.
Objective Accessibility Validation: Standardised testing ensures all images meet the same compliance benchmarks.
Improved Conversion Performance: Images optimised for glance readability demonstrate measurable improvements in click-through rates.
Workflow Efficiency Gains: Automation significantly reduces manual effort and improves turnaround time.
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