# Sony - Developer World (@SonyDevWorld) on youtube

- id: koinon:creator:youtube_sonydevworld
- url: https://koinonlink.com/kol/youtube/SonyDevWorld
- schema_version: 1.3

## Identity
- platform: youtube
- handle: SonyDevWorld
- platform_url: https://www.youtube.com/@SonyDevWorld
- country: Sweden
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 49000
- posts_observed: 2
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Brain Builder for AITRIOS无代码AI训练, Raspberry Pi AI相机物体检测与缺陷检测, Sony IMX500与Spresense边缘AI应用, AI模型训练与异常识别, 学生/开发者黑客松活动
- bio: At the Developer World website, you will find developer tools, tutorials, videos, and SDKs for various Sony products. Get the edge ...

## Audience (inferred)
- status: present
- description: Embedded AI and computer vision developers using Raspberry Pi, Sony IMX500/Spresense hardware for edge AI projects
- roles: dev
- seniority: practitioner
- pain_points: Quickly deploy and train AI models on edge devices like Raspberry Pi, Implement object detection, anomaly detection, and other specific applications with minimal code, Get practical tutorials for Sony hardware SDKs and Brain Builder tools, Participate in or organize AI hardware hackathons for students and developers
- posts_analysed: 9
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: profile_shape_only
- credibility_score: 53
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [youtube_sonydevworld#268e825d] Can AI Fix Farming? Sony IMX500 & Spresense in Action at UC Davis (https://www.youtube.com/@SonyDevWorld)
- [youtube_sonydevworld#312e0d15] Build AI models in just one day with Brain Builder for AITRIOS #aitraining #aimodel
- [youtube_sonydevworld#15cc54ea] Start AI Training Without Writing Code!  Brain Builder for AITRIOS #aitraining
- [youtube_sonydevworld#c31c69f2] Sony Spresense Hackathon at Cal Poly
- [youtube_sonydevworld#c680bf0c] Detect product faults with Anomaly Recognizer AI model | Brain Builder #anomalydetection  #aimodel
- [youtube_sonydevworld#ba8b196b] Hack-A-Bot 2025 Student Hackathon Powered by IMX500 #raspberrypi #manchester #hackathon
- [youtube_sonydevworld#31c9be7d] Your quick guide on Raspberry Pi AI Camera Object Detection #raspberrypi  #objectdetection
- [youtube_sonydevworld#e4b216a9] Build Solder Defect Detection System with the #raspberrypi AI camera | Brain Builder Guide #aimodel

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=28, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=28, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=28, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=21, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=0, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=21, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=21, method=platform_profile

## Freshness
- profile_checked_days_ago: 21
- content_analysed_days_ago: 0
- audience_updated_days_ago: 28

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=youtube_sonydevworld
- Request removal: https://koinonlink.com/claim?k=youtube_sonydevworld
- Terms: https://koinonlink.com/for-ai