labs

Perception systems,
confidence,
and alignment failure modes.

Interactive safety modules. Browser transforms are real; conceptual demos are labeled; model outputs are never fabricated.

real perception under degradation
browser model
1 input

Upload an image or enable webcam.

2 stress

Apply blur, low light, crop, motion, or compression-like noise.

3 infer

Run COCO-SSD locally and inspect only reported detections.

4 export

Open the evidence packet and export JSON after real frames exist.

upload image or enable webcam to run real browser-side detection
idle
sample route / none / detections remain model-reported only
sequencenone selected
asset statead hoc input
min framesunbounded
webcam routeidle
input condition control88
mean detection confidenceunavailable
tracking persistenceunavailable
detections 0 / frames 0
observation windowpending
inference cadence0.8s target
continuity transitions0
last frameunavailable
robustness sequence registry
5 protocols / 0 asset-backed / 5 capture-required
Registry entries are capture protocols until real frames are imported. Selecting one applies reproducible degradation metadata; detections and confidence remain model-output only.
calibration fixtures / synthetic geometry only / excluded from dataset registry
2 apply operating stress
temporal confidence trace0 frames
waiting for model outputs
observation window / confidence bars from model outputs / muted break markers indicate dropped detections
windowpending
cadencepending
jitterpending
transitions0
continuity markers
no continuity transition recorded in the current window
class persistence windows
no emitted class has persisted across this window
DETECTION.RELIABILITYunavailable
rolling mean confidence from model outputs
CONFIDENCE.VARIANCEunavailable
inverse variance across recent inference frames
TRACKING.PERSISTENCEunavailable
class continuity between adjacent frames
TEMPORAL.CONSISTENCYunavailable
confidence movement between adjacent frames
PERCEPTION.STABILITYunavailable
stability of detected object count
FRAME.INTEGRITYunavailable
share of recent frames with at least one model detection
OCCLUSION.PRESSUREunavailable
derived from detection disappearance and class continuity loss
4 operational evidence packet
sequencenone
asset statusad hoc
modeupload
presetdefault
frames0
with detections0
empty frames0
mean confidenceunavailable
drop events0
continuity breaks0
persistence windows0
windowpending
cadence jitterpending
No dataset sequence is selected. The export will record this as an ad hoc browser inference run.
No model detections have been emitted yet. The packet remains empty instead of synthesizing evidence.
waiting

No inference frames have been recorded in this observation window.

continuity transitions
no transition recorded
export boundary / model outputs, timestamps, degradation settings, derived notes, and evidence packet only
temporal replay

replays detection history only; no video frames or confidence values are synthesized

waiting for inference history
frame / unavailable
confidence / unavailable
classes / none reported
operational explainability

No inference history yet. Enable webcam or upload an image to begin collecting real model outputs.

provenance / latest explanation derived from detection history and current model outputs
real model readout
no detection reported by model
robustness trace

Baseline detections are captured from the same uploaded image before degradation. The degraded frame is re-run after slider changes; instability is measured only from COCO-SSD outputs.

baseline / unavailable
Model inference remains unavailable until the browser model finishes loading. Confidence values shown here come only from real model outputs.
open safety-critical perception layer
pose stability monitoring
architecture ready
pose model disconnected / no keypoints emitted
joint confidenceunavailable
temporal jitterunavailable
keypoint persistenceunavailable
architecture ready / waiting for browser pose backend
pose safety context

Pose stability monitoring is prepared for future MediaPipe or TensorFlow pose estimation. Until a real model is connected, this panel does not display skeletons, confidence, or joint telemetry.

alignment failure sandbox
conceptual simulation
intended / safe completion
optimized / proxy shortcut
reward hacking pressure / contained
conceptual safety model

Systems optimize what is measured, not necessarily what humans intended. This is a conceptual toy model, not real-world runtime data.

oversight gap visualization
conceptual controls
capability growth58
evaluation capability48
interpretability progress42
governance readiness46
oversight gap / watch
why this matters

Autonomous systems become harder to supervise when capability growth exceeds evaluation, interpretability, and governance readiness. This panel is educational and parameter-driven.

autonomous systems

Small perception failures can propagate into larger system failures when agents act on degraded scene understanding.

robotics

Manipulation, navigation, and human interaction require stable perception under occlusion, low light, and motion.

medical and industrial vision

Safety-critical imaging systems need uncertainty reporting because input quality can shift outside training conditions.

future modules registry
0 modules