Skip to main content

Envisioning is a research institute that studies how institutions adapt to technological change.

LinkedIn Instagram GitHub

Since 2010

Observatory
Adaptive capacity
Hindsight
Newsletter
Methodology
Origins
Vocab
RSS feeds

Signals Session
Bespoke Projects
Build Sessions
Pricing
Use cases
Signals
Signal Scanfree

ANBIMAFuture of Brazilian Capital Markets
IEEECharting the Energy Transition
Horizon 2045Future of Human and Planetary Security
WKOTechnology Scanning for Austria

solutions

Innovation
Strategy
Consultants
Foresight
Associations
Governments
L&D

resources

Partners
Coding for Non-Coders
Git for non-coders
How we work
Data visualization
Multi-Model Convergence
FAQ
Security and privacy
Public sector

Manifesto
Community
Events
Support
Contact

Research Capability Services Signals About

Research Capability Services Signals About

Imitating Human Perception: Advancing Computer Vision · Hindsight | Envisioning

Hindsight
Future Today Strategy Group
Tech Trends Report
2024
Claim

Imitating Human Perception: Advancing Computer Vision

Published 2024-03

Publishers Forecast vs actual Side by side

Humans are good at predicting how objects and people will move.

Verdict

openFewer than two later editions exist yet (D33).

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

All captured fields

rank: 463
section: Computing
subsection: Biological Computing
subject: Imitating Human Perception: Advancing Computer Vision
page: 486
confidence: high

Permalink

https://www.envisioning.com/hindsight/claims/ftsg-tech-trends-2024-463

Cite

Hindsight, claim ftsg-tech-trends-2024-463, open as of 2026-10-03. Envisioning. https://www.envisioning.com/hindsight/claims/ftsg-tech-trends-2024-463

Dispute this verdict

Data, code and grading rules are public at github.com/envisioning/hindsight. Data under CC BY 4.0 (the BCB Focus survey under ODbL), code under MIT. Every rule is in the decision log. Think a verdict is wrong? Open a dispute.