Evidence 01
This machine helps you to reduce thickness of shims and plates. There is aspoken statement · segments 0 · human review pending
Evidence workspace
See what the video supports—and what still needs asking
Inspect speech and on-screen text alongside timecoded visual observations, attention, motion, and hand landmarks. Missing expert judgment is not inferred.
Speech ledger · Missing analysis is not inferred
07
Speech + on-screen text
00
Direct visual observations
384
Visual annotations + derived cues
05
Real model artifacts
00
Interview probes
Dayel Diesel · 1:52 · 665d9eb930c7
Original source · Human review pending
Timecoded source evidence
Evidence 02
100 watt powered magnetic table on it. Z-axle digital adjustment is 0.01 millimeter resolution and you can move X-axle manual by hand control.spoken statement · segments 1, 2 · human review pending
Evidence 03
Operator is provided to work more comfortably with its transparent protection cover.spoken statement · segments 3, 4 · human review pending
Evidence 04
You can use this machine for denser valves, plates, tappets, shims, and washers.spoken statement · segments 5 · human review pending
Evidence 05
We can get good results with variable auxiliary plates.spoken statement · segments 6 · human review pending
Evidence 06
There is a 0.25kW and 2800rpmac motor inside.spoken statement · segments 7 · human review pending
Evidence 07
side. Machine needs only one phase network supply.spoken statement · segments 8 · human review pending
02 · MULTIMODAL EVIDENCE
Visual evidence and machine observations
This separates literal video observations, authored attention, OpenCV-derived motion, and artifacts from models that actually ran. None of these alone establishes expert intent, rationale, quality, or safety.
0Direct visual observations
384Visual annotations + derived cues
5Real model artifacts
Observations and model outputs support what is visible. What it means must be checked with a practitioner or separately cited existing knowledge.
01
Direct observations from the video
Literal descriptions of visible objects, orientation, possible contact, and movement only.
No direct visual observation has yet been admitted to this source bundle. The annotations and derived cues below remain visible, but they do not silently become expert knowledge.
02
Timecoded visual annotations and derived cues
Attention points, motion trails, hand landmarks, and related candidates. Play any card at its source moment.
03
Artifacts from visual models that actually ran
Google · mediapipe-0.10.35:fbc2a30080c3
hand-clip-01.jsonMeta · facebookresearch/sam2@2b90b9f5ceec907a1c18123530e92e794ad901a4
keyframes.jsongrinder-machine-body-mask.pngmagnetic-table-mask.pngMeta · facebookresearch/sam2@2b90b9f5ceec907a1c18123530e92e794ad901a4
23000-29000-4fps.jsonContinue with this source
One source, five connected views
Switching views preserves the same source hash across instruction, analysis, skill structure, evidence, and human review.
01Learning guideLearn the demonstration as a visual procedure02Vision labInspect model outputs, live graph, and teaching visuals03Skill mapExplore process, tools, judgment, and learning
04EvidenceReturn to speech, source text, and observationsYou are here
05Open questionsAnswer knowledge gaps and update the skill graph