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Vision Detection Systems

1 min read
Pronunciation
[vizh-uhn dih-tek-shuhn sis-tuhmz]
Analogy
Like a self-checkout camera that recognizes your groceries and logs them to inventory without human scanning.
Definition
Integrated hardware and software solutions combining computer vision with blockchain logging to automatically detect, verify, and record physical items or events on-chain.
Key Points Intro
Vision detection systems bridge physical observations and on-chain records.
Key Points

Edge AI: runs neural networks on IoT cameras for real-time inference

Data anchoring: hashes or metadata recorded on blockchain for auditability

Smart triggers: vision events can invoke oracle callbacks

Tamper evidence: cryptographic seals ensure image integrity

Example
A supply-chain dApp uses edge vision modules to confirm pallet barcode and product count, then logs a Merkle root of captured images on Ethereum for traceability.
Technical Deep Dive
Cameras with onboard GPUs run object-detection models (e.g., YOLO) to identify SKU and quantity. Hashes of image frames and model metadata are packaged into transactions or sent via oracles to smart contracts, which store them or trigger state updates.
Security Warning
Camera spoofing or model poisoning attacks can inject false data if not mitigated by multisensor fusion.
Caveat
High data volumes and privacy regulations may limit image storage on-chain; off-chain hashing is often required.

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