---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Object Recogniser"
developer_entity: "Nicholas Wilson"
bundle_id: "com.wilsonsn.Object-Recogniser"
app_store_id: "520011917"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-05-05"
report_date: "2026-05-19"
last_verified: "2026-05-19T20:20:25.840Z"
report_version: "2.0"
total_reviews: 3
overall_rating: 1.67
sentiment: "Frustrated"
sentiment_score: 20
confidence: "low"
confidence_score: 0.45
review_sample_size: 3
data_age_days: 2
momentum_velocity: "zombie"
intelligence_version: 6
competitor_count: 6
tags: ["utilities", "paid", "frustrated sentiment", "mobile app", "app review", "app analysis", "academics,", "health", "professionals,"]
canonical_url: "https://marlvel.ai/intel-report/utilities/object-recogniser"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Object Recogniser App Audit

## TL;DR {#tldr}

- **Category**: Utilities · Paid
- **Signal**: Rating 1.67 · Sentiment Frustrated

> **TL;DR:** Object Recogniser is a utilities app by Nicholas Wilson, rated 1.67/5 by 3 users, with Frustrated user sentiment (20/100), available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Object Recogniser has Frustrated user sentiment with a 1.67/5 rating from 3 reviews.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 1.67/5 (3 reviews) |
| **User Mood** | Frustrated |
| **Category** | Utilities |
| **Developer** | Nicholas Wilson |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.45/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Nicholas Wilson
- **Category:** Utilities
- **Target Audience:** Academics, health professionals, and individuals with visual impairments or color blindness.
- **Platforms:** iOS
- **Version Audited:** 2.0
- **Audit Date:** 2026-05-19
- **Signal Count:** 2 reviews analyzed
- **Confidence:** Low (0.45/1.0)
- **App Store ID (iOS):** 520011917
- **Bundle ID:** com.wilsonsn.Object-Recogniser
- **Performance Trend:** Declining
- **Data Window:** Analysis based on signals collected up to 2026-05-19

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Object Recogniser is a utility app that identifies objects via color analysis for visually impaired and academic users on iOS.
**Why users hire it:** Users hire this tool to identify objects in their environment, but the manual calibration requirement creates a high-friction experience that fails to deliver consistent results.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Basic] Color-based Object Recognition:** Identifies objects by analyzing color data within a designated white square area.
- **[Standard] Object Save and Recall:** Stores and retrieves recognized object data for future reference.
- **[Differentiator] Accessibility-focused Interface:** Designed for visually impaired, color blind, and blind users.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

The app maintains a 1.67-star rating across 3 reviews, indicating a failure to achieve product-market fit in the Utilities category. The lack of recent feature updates relative to AI-driven competitors suggests a declining competitive stance.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Paid
- **Tiers:** Single purchase at $0.99
- **Price:** iOS: $0.99
- **Analysis:** Paid model at $0.99 provides full access to utility features without recurring subscription or ad-based monetization.

<!-- section:sentiment -->
## 🔴 User Sentiment (Low Confidence: 3 reviews) {#user-sentiment}
- **Overall Rating:** 1.67/5
- **Platform Split:** iOS 1.7/5 (3 ratings)
- **Overall Sentiment:** Frustrated

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Accessibility-focused interface serves a specific underserved demographic segment.

**Critical Frictions:**
- 1.67-star rating indicates core recognition failure.
- $0.99 price point lacks recurring revenue for AI model maintenance.

**Growth Levers:**
- Integrate text-to-speech for accessibility.
- Pivot to a specialized domain like laundry or medication identification.

**Market Threats:**
- AI-driven scanners offer superior domain-specific utility.
- AR-based newcomers render simple color-naming obsolete.

<!-- /section:swot -->
## Recent Changes (v5 → v6) {#recent-changes}

The app has abandoned its broad accessibility positioning in favor of a potential pivot toward domain-specific scanning, evidenced by a complete overhaul of the competitive landscape and updated feature gap analysis.

**Overall trend**: Declining
**Compared at**: 2026-05-19

### High-impact changes
- **[Shifted] Competitive Landscape Overhaul** (positioning) — The competitive set shifted from broad accessibility tools like Be My Eyes and Seeing AI to domain-specific scanners like Laundry Symbols: AI Scanner and OBDChat.
- **[Shifted] Revenue Model Weakness** (swot) — Weakness updated to explicitly cite the $0.99 price point as insufficient for funding ongoing AI model maintenance.

### Medium-impact changes
- **[Added] Domain-Specific Feature Gaps** (features) — Added requirements for read-out-loud functions, wiki-style databases, and interactive chat interfaces to match domain-specific competitors.

<!-- section:whats-new -->
## What's New

- **Latest (v1.1, 7 years ago):** General performance improvements and bug fixes.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- No notable feature updates recently.

> **Cadence:** 3 total versions · 0 majors in last 6 months · 14 days since last update · 1445 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Object Recogniser is a challenged utilities app that is a paid app.
With a 1.67/5 rating from 3 reviews, it faces significant user friction.

<!-- speakable-start -->
> **Bottom Line:** The app fails to deliver reliable object identification, because the manual color calibration is too cumbersome for users, so the PM must pivot to a specialized domain or integrate advanced AI to justify the $0.99 price.
<!-- speakable-end -->

**Best for:** Academics, health professionals, and individuals with visual impairments or color blindness.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] [HIGH IMPACT] Pivot to a specialized domain like laundry symbol identification because general color recognition is failing → improve rating baseline. — *Current 1.67-star rating indicates the general-purpose color recognition mechanism is not meeting user needs.* _(trade-off: deprioritize Pause all general-purpose recognition updates — the current model is not viable.)_
- [ ] [INVEST] [MEDIUM IMPACT] Integrate text-to-speech functionality because it is a key differentiator in competitor Laundry Symbols → increase accessibility utility. — *Competitor analysis shows read-out-loud functions are a core requirement for the target visually impaired demographic.* _(trade-off: deprioritize Deprioritize the object save and recall feature — accessibility is the primary value driver.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Read-out-loud function (available in Laundry Symbols: AI Scanner)
- Specialized wiki-style database (available in Laundry Symbols: AI Scanner)
- Interactive chat interface (available in OBDChat)
- AR-based visualization (available in EnVision)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Declining

The utility market is consolidating around AI-driven, domain-specific scanners that provide higher accuracy and better accessibility. This app is currently exposed due to its manual calibration requirement and lack of feature updates, so the PM must pivot to a specialized niche to avoid total obsolescence.

- 🔴 The 1.67-star rating indicates that the core recognition technology is failing to meet user expectations, leading to immediate churn.
- 🔴 Competitors are rapidly adopting AI and AR, which makes this app's manual color-calibration approach obsolete and difficult to defend.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 1.67/5 |
| Total Reviews | 3 |
| Sentiment | Frustrated (20/100) |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Declining |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Object Recogniser** (this app) | 1.67/5 | Frustrated | Nicholas Wilson |
| [Laundry Symbols: AI Scanner](https://marlvel.ai/intel-report/utilities/laundry-symbols-ai-scanner) | 4.1/5 | N/A | Johannes Bauer |
| [EnVision: Imagine. See. Buy.](https://marlvel.ai/intel-report/utilities/envision-imagine-see-buy) | N/A/5 | N/A | Murugan Ambigapathy |
| [Rego Checking](https://marlvel.ai/intel-report/utilities/rego-checking) | 1.0/5 | N/A | Woletech |
| [Vin for Car Sale](https://marlvel.ai/intel-report/utilities/vin-for-car-sale) | 4.0/5 | N/A | Biographics Consultoria e Design LTDA |
| [GO! Wash](https://marlvel.ai/intel-report/business/go-wash) | 3.6/5 | Mixed | GO! Wash |

## Company Profile
- **Developer:** Nicholas Wilson
- **Website:** [https://www.wilsonsn.com](https://www.wilsonsn.com)
- **Social:** [YouTube](https://www.youtube.com/watch)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/object-recogniser/id520011917?uo=4)
- **Dev Site:** [Official Website](https://www.wilsonsn.com)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*Laundry Symbols: AI Scanner*](https://marlvel.ai/intel-report/utilities/laundry-symbols-ai-scanner) (Johannes Bauer) — 4.1/5 Rating | N/A Sentiment
- [*EnVision: Imagine. See. Buy.*](https://marlvel.ai/intel-report/utilities/envision-imagine-see-buy) (Murugan Ambigapathy) — N/A Rating | N/A Sentiment
- [*Rego Checking*](https://marlvel.ai/intel-report/utilities/rego-checking) (Woletech) — 1.0/5 Rating | N/A Sentiment
- [*Vin for Car Sale*](https://marlvel.ai/intel-report/utilities/vin-for-car-sale) (Biographics Consultoria e Design LTDA) — 4.0/5 Rating | N/A Sentiment
- [*GO! Wash*](https://marlvel.ai/intel-report/business/go-wash) (GO! Wash) — 3.6/5 Rating | Mixed Sentiment
- [*OBDChat - AI car scanner*](https://marlvel.ai/intel-report/travel/obdchat-ai-car-scanner) (JIRI CHOMAT) — N/A Rating | N/A Sentiment
- [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | N/A Sentiment
- [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.6/5 Rating | N/A Sentiment
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.3/5 Rating | Mixed Sentiment
- [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | N/A Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting.
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.45/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 2
- **Data Sources:** user reviews, developer website, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 0 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/utilities/object-recogniser)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.