diff --git a/src/core/processor/tkg.rs b/src/core/processor/tkg.rs
index 61dbc5a..a7f6059 100644
--- a/src/core/processor/tkg.rs
+++ b/src/core/processor/tkg.rs
@@ -613,34 +613,6 @@ struct AsrxSpeakerStat {
     count: i64,
 }
 
-// ── Face detection trace ──────────────────────────────────────────
-
-#[derive(Debug, sqlx::FromRow)]
-struct FaceTraceRow {
-    trace_id: i64,
-    frame_count: i64,
-    start_f: i64,
-    end_f: i64,
-    avg_x: Option<f64>,
-    avg_y: Option<f64>,
-    avg_w: Option<f64>,
-    avg_h: Option<f64>,
-}
-
-#[derive(Debug, sqlx::FromRow)]
-struct FaceDetectionRow {
-    trace_id: i64,
-    frame_number: i64,
-    #[allow(dead_code)]
-    x: Option<f64>,
-    #[allow(dead_code)]
-    y: Option<f64>,
-    #[allow(dead_code)]
-    width: Option<f64>,
-    #[allow(dead_code)]
-    height: Option<f64>,
-}
-
 // ── Public API ────────────────────────────────────────────────────
 
 #[derive(Debug, Serialize)]
@@ -1193,135 +1165,6 @@ async fn build_face_track_nodes_from_qdrant(
     Ok(count)
 }
 
-async fn build_face_track_nodes_from_face_json(
-    pool: &PgPool,
-    file_uuid: &str,
-    pose_data: &[FacePose],
-) -> Result<usize> {
-    let face_json_path =
-        Path::new(&*crate::core::config::OUTPUT_DIR).join(format!("{}.face.json", file_uuid));
-
-    if !face_json_path.exists() {
-        tracing::info!("[TKG-Phase2.5] No face.json for {}", file_uuid);
-        return Ok(0);
-    }
-
-    let content = std::fs::read_to_string(&face_json_path)
-        .with_context(|| format!("Failed to read {:?}", face_json_path))?;
-    let face_result: crate::core::processor::face::FaceResult = serde_json::from_str(&content)
-        .with_context(|| format!("Failed to parse {:?}", face_json_path))?;
-
-    // Extract faces with embeddings
-    let faces_with_embeddings: Vec<(u64, f64, crate::core::processor::face::Face)> = face_result
-        .frames
-        .iter()
-        .flat_map(|frame| {
-            frame.faces.iter().filter_map(|face| {
-                if let Some(ref embedding) = face.embedding {
-                    Some((frame.frame, frame.timestamp, face.clone()))
-                } else {
-                    None
-                }
-            })
-        })
-        .collect();
-
-    if faces_with_embeddings.is_empty() {
-        tracing::info!(
-            "[TKG-Phase2.5] No embeddings in face.json for {}",
-            file_uuid
-        );
-        return Ok(0);
-    }
-
-    tracing::info!(
-        "[TKG-Phase2.5] Found {} faces with embeddings in face.json",
-        faces_with_embeddings.len()
-    );
-
-    // Simple clustering: assign trace_id based on consecutive similar embeddings
-    let nodes_table = t("tkg_nodes");
-    let mut trace_id = 1_i64;
-    let mut traces: Vec<(i64, Vec<(u64, f64, f64, f64, f64, f64)>)> = vec![];
-
-    for (frame, timestamp, face) in &faces_with_embeddings {
-        // For simplicity, assign all faces to one trace (proper clustering requires DBSCAN)
-        if traces.is_empty() {
-            traces.push((trace_id, vec![]));
-        }
-        traces[0].1.push((
-            *frame,
-            *timestamp,
-            face.x as f64,
-            face.y as f64,
-            face.width as f64,
-            face.height as f64,
-        ));
-    }
-
-    let mut count = 0;
-    for (tid, frames) in &traces {
-        let external_id = format!("face_track_{}", tid);
-        let label = format!("Face Trace {}", tid);
-
-        let frame_count = frames.len() as i64;
-        let start_f = frames
-            .iter()
-            .map(|(f, _, _, _, _, _)| *f as i64)
-            .min()
-            .unwrap_or(0);
-        let end_f = frames
-            .iter()
-            .map(|(f, _, _, _, _, _)| *f as i64)
-            .max()
-            .unwrap_or(0);
-        let avg_x = frames.iter().map(|(_, _, x, _, _, _)| *x).sum::<f64>() / frame_count as f64;
-        let avg_y = frames.iter().map(|(_, _, _, y, _, _)| *y).sum::<f64>() / frame_count as f64;
-        let avg_w = frames.iter().map(|(_, _, _, _, w, _)| *w).sum::<f64>() / frame_count as f64;
-        let avg_h = frames.iter().map(|(_, _, _, _, _, h)| *h).sum::<f64>() / frame_count as f64;
-
-        let props = serde_json::json!({
-            "trace_id": tid,
-            "frame_count": frame_count,
-            "start_frame": start_f,
-            "end_frame": end_f,
-            "avg_bbox": {
-                "x": avg_x.round() as i64,
-                "y": avg_y.round() as i64,
-                "width": avg_w.round() as i64,
-                "height": avg_h.round() as i64,
-            },
-        });
-
-        sqlx::query(&format!(
-            r#"
-            INSERT INTO {} (node_type, external_id, file_uuid, label, properties)
-            VALUES ($1, $2, $3, $4, $5::jsonb)
-            ON CONFLICT (file_uuid, node_type, external_id)
-            DO UPDATE SET
-                properties = COALESCE(EXCLUDED.properties, tkg_nodes.properties),
-                label = COALESCE(NULLIF(EXCLUDED.label, ''), tkg_nodes.label)
-            "#,
-            nodes_table
-        ))
-        .bind("face_track")
-        .bind(&external_id)
-        .bind(file_uuid)
-        .bind(&label)
-        .bind(serde_json::to_string(&props)?)
-        .execute(pool)
-        .await?;
-
-        count += 1;
-    }
-
-    tracing::info!(
-        "[TKG-Phase2.5] Built {} face_track nodes from face.json",
-        count
-    );
-    Ok(count)
-}
-
 async fn build_yolo_object_nodes(
     pool: &PgPool,
     file_uuid: &str,