verify faces from camera

cross compile files for extract embeddings exec
added go gitignore
2026-05-29 23:46:15 +03:00 · 2026-05-29 23:45:50 +03:00 · 2026-05-29 23:45:10 +03:00 · 2026-05-29 23:18:45 +03:00 · 2026-05-29 02:02:48 +03:00 · 2026-05-25 06:04:28 +03:00
13 changed files with 809 additions and 1 deletions
@@ -50,9 +50,10 @@
 ### Completed
 - Tag & Scanner CLI for configuration & persistent config
 - Core script (MQTT, location estimation, Store in Redis)
+- NGSI-LD public api
+- public dashboard (Node-RED)

 ### In Progress
- NGSI-LD data for public API
 - Admin API with CRUD functions

 ### Next Steps
@@ -0,0 +1,352 @@
+[
+    {
+        "id": "f1398f7c64b1d0ea",
+        "type": "tab",
+        "label": "OfficeSense Flow",
+        "disabled": false,
+        "info": "",
+        "env": []
+    },
+    {
+        "id": "20bb112ec6e856de",
+        "type": "ui-table",
+        "z": "f1398f7c64b1d0ea",
+        "group": "05cf402c93866d4e",
+        "name": "",
+        "label": "",
+        "order": 1,
+        "width": 0,
+        "height": 0,
+        "maxrows": 0,
+        "passthru": false,
+        "autocols": true,
+        "showSearch": true,
+        "deselect": true,
+        "selectionType": "none",
+        "columns": [],
+        "mobileBreakpoint": "sm",
+        "mobileBreakpointType": "defaults",
+        "action": "replace",
+        "className": "",
+        "x": 690,
+        "y": 360,
+        "wires": [
+            []
+        ]
+    },
+    {
+        "id": "0a5259b54388cdfc",
+        "type": "inject",
+        "z": "f1398f7c64b1d0ea",
+        "name": "",
+        "props": [
+            {
+                "p": "payload"
+            }
+        ],
+        "repeat": "3",
+        "crontab": "",
+        "once": false,
+        "onceDelay": 0.1,
+        "topic": "",
+        "payload": "",
+        "payloadType": "date",
+        "x": 70,
+        "y": 400,
+        "wires": [
+            [
+                "4030b9e7bcab5435",
+                "f37401387ca7a595"
+            ]
+        ]
+    },
+    {
+        "id": "4030b9e7bcab5435",
+        "type": "http request",
+        "z": "f1398f7c64b1d0ea",
+        "name": "",
+        "method": "GET",
+        "ret": "obj",
+        "paytoqs": "ignore",
+        "url": "http://192.168.1.2/livedata/entities",
+        "tls": "",
+        "persist": false,
+        "proxy": "",
+        "insecureHTTPParser": false,
+        "authType": "",
+        "senderr": false,
+        "headers": [],
+        "x": 270,
+        "y": 360,
+        "wires": [
+            [
+                "4aee360198b34403"
+            ]
+        ]
+    },
+    {
+        "id": "f37401387ca7a595",
+        "type": "http request",
+        "z": "f1398f7c64b1d0ea",
+        "name": "",
+        "method": "GET",
+        "ret": "obj",
+        "paytoqs": "ignore",
+        "url": "http://192.168.1.2/livedata/entities?type=room",
+        "tls": "",
+        "persist": false,
+        "proxy": "",
+        "insecureHTTPParser": false,
+        "authType": "",
+        "senderr": false,
+        "headers": [],
+        "x": 270,
+        "y": 440,
+        "wires": [
+            [
+                "448ba65b518d534d"
+            ]
+        ]
+    },
+    {
+        "id": "448ba65b518d534d",
+        "type": "function",
+        "z": "f1398f7c64b1d0ea",
+        "name": "ParseNGSI",
+        "func": "msg.payload = msg.payload.map(r => {\n    return {\n        Room: r.name?.value,\n        Occupancy: r.occupancy?.value\n    };\n});\n\nreturn msg;",
+        "outputs": 1,
+        "timeout": 0,
+        "noerr": 0,
+        "initialize": "",
+        "finalize": "",
+        "libs": [],
+        "x": 490,
+        "y": 440,
+        "wires": [
+            [
+                "586c57be87bf8bc6",
+                "49042a0c5086d4b8"
+            ]
+        ]
+    },
+    {
+        "id": "586c57be87bf8bc6",
+        "type": "ui-table",
+        "z": "f1398f7c64b1d0ea",
+        "group": "a98ec11a60f808be",
+        "name": "",
+        "label": "",
+        "order": 1,
+        "width": 0,
+        "height": 0,
+        "maxrows": 0,
+        "passthru": false,
+        "autocols": true,
+        "showSearch": true,
+        "deselect": true,
+        "selectionType": "none",
+        "columns": [],
+        "mobileBreakpoint": "sm",
+        "mobileBreakpointType": "defaults",
+        "action": "replace",
+        "className": "",
+        "x": 690,
+        "y": 440,
+        "wires": [
+            []
+        ]
+    },
+    {
+        "id": "4aee360198b34403",
+        "type": "function",
+        "z": "f1398f7c64b1d0ea",
+        "name": "ParseNGSI",
+        "func": "const entities = msg.payload;\n\nconst users = entities.filter(e => e.type === \"User\");\nconst rooms = entities.filter(e => e.type === \"Room\");\n\nconst roomMap = {};\nfor (const r of rooms) {\n    roomMap[r.id.replace(\"urn:ngsi-ld:Room:\", \"\")] = r;\n}\n\nmsg.payload = users.map(u => {\n\n    const roomId = u.locatedIn?.object;\n    const room = roomMap[roomId];\n\n    return {\n        Name: u.name?.value,\n        Room: room ? room.name?.value : \"Unknown\",\n        RSSI: u.rssi?.value,\n        Auth: u.authenticationStatus?.value,\n        Time: new Date(u.observedAt?.value)\n            .toLocaleString(\"el-GR\", { timeZone: \"Europe/Athens\" })\n    };\n});\n\nreturn msg;",
+        "outputs": 1,
+        "timeout": 0,
+        "noerr": 0,
+        "initialize": "",
+        "finalize": "",
+        "libs": [],
+        "x": 490,
+        "y": 360,
+        "wires": [
+            [
+                "20bb112ec6e856de"
+            ]
+        ]
+    },
+    {
+        "id": "49042a0c5086d4b8",
+        "type": "ui-chart",
+        "z": "f1398f7c64b1d0ea",
+        "group": "a98ec11a60f808be",
+        "name": "",
+        "label": "Room Occupancy Chart",
+        "order": 2,
+        "chartType": "bar",
+        "category": "",
+        "categoryType": "none",
+        "xAxisLabel": "Room",
+        "xAxisProperty": "Room",
+        "xAxisPropertyType": "property",
+        "xAxisType": "category",
+        "xAxisFormat": "",
+        "xAxisFormatType": "auto",
+        "xmin": "",
+        "xmax": "",
+        "yAxisLabel": "Occupancy",
+        "yAxisProperty": "Occupancy",
+        "yAxisPropertyType": "property",
+        "ymin": "0",
+        "ymax": "10",
+        "bins": 10,
+        "action": "replace",
+        "stackSeries": false,
+        "pointShape": "circle",
+        "pointRadius": 4,
+        "showLegend": true,
+        "removeOlder": 1,
+        "removeOlderUnit": "3600",
+        "removeOlderPoints": "",
+        "colors": [
+            "#0095ff",
+            "#ff0000",
+            "#ff7f0e",
+            "#2ca02c",
+            "#a347e1",
+            "#d62728",
+            "#ff9896",
+            "#9467bd",
+            "#c5b0d5"
+        ],
+        "textColor": [
+            "#666666"
+        ],
+        "textColorDefault": true,
+        "gridColor": [
+            "#e5e5e5"
+        ],
+        "gridColorDefault": true,
+        "width": 6,
+        "height": 8,
+        "className": "",
+        "interpolation": "linear",
+        "x": 750,
+        "y": 520,
+        "wires": [
+            []
+        ]
+    },
+    {
+        "id": "05cf402c93866d4e",
+        "type": "ui-group",
+        "name": "Users",
+        "page": "fc203945d260d5ec",
+        "width": 6,
+        "height": 1,
+        "order": 1,
+        "showTitle": true,
+        "className": "",
+        "visible": "true",
+        "disabled": "false",
+        "groupType": "default"
+    },
+    {
+        "id": "a98ec11a60f808be",
+        "type": "ui-group",
+        "name": "Rooms",
+        "page": "fc203945d260d5ec",
+        "width": 6,
+        "height": 1,
+        "order": 2,
+        "showTitle": true,
+        "className": "",
+        "visible": "true",
+        "disabled": "false",
+        "groupType": "default"
+    },
+    {
+        "id": "fc203945d260d5ec",
+        "type": "ui-page",
+        "name": "OfficeSense",
+        "ui": "7d0f4d8165214cca",
+        "path": "/officesense",
+        "icon": "home",
+        "layout": "grid",
+        "theme": "f49a05b173b6cac3",
+        "breakpoints": [
+            {
+                "name": "Default",
+                "px": "0",
+                "cols": "3"
+            },
+            {
+                "name": "Tablet",
+                "px": "576",
+                "cols": "6"
+            },
+            {
+                "name": "Small Desktop",
+                "px": "768",
+                "cols": "9"
+            },
+            {
+                "name": "Desktop",
+                "px": "1024",
+                "cols": "12"
+            }
+        ],
+        "order": 1,
+        "className": "",
+        "visible": "true",
+        "disabled": "false"
+    },
+    {
+        "id": "7d0f4d8165214cca",
+        "type": "ui-base",
+        "name": "My Dashboard",
+        "path": "/dashboard",
+        "appIcon": "",
+        "includeClientData": true,
+        "acceptsClientConfig": [
+            "ui-notification",
+            "ui-control"
+        ],
+        "showPathInSidebar": false,
+        "headerContent": "page",
+        "navigationStyle": "default",
+        "titleBarStyle": "default",
+        "showReconnectNotification": true,
+        "notificationDisplayTime": 1,
+        "showDisconnectNotification": true,
+        "allowInstall": false
+    },
+    {
+        "id": "f49a05b173b6cac3",
+        "type": "ui-theme",
+        "name": "Default Theme",
+        "colors": {
+            "surface": "#ffffff",
+            "primary": "#0094ce",
+            "bgPage": "#eeeeee",
+            "groupBg": "#ffffff",
+            "groupOutline": "#cccccc"
+        },
+        "sizes": {
+            "density": "default",
+            "pagePadding": "12px",
+            "groupGap": "12px",
+            "groupBorderRadius": "4px",
+            "widgetGap": "12px"
+        }
+    },
+    {
+        "id": "2372b8eb214a55ee",
+        "type": "global-config",
+        "env": [],
+        "modules": {
+            "@flowfuse/node-red-dashboard": "1.30.2"
+        }
+    }
+]
@@ -0,0 +1,8 @@
+# dlib compile cache
+.docker-cache/
+
+# face recognition models
+models/
+
+# executable
+output/
@@ -0,0 +1,55 @@
+ARG BUILDPLATFORM=linux/amd64
+FROM --platform=$BUILDPLATFORM golang:1.26-bookworm AS builder
+
+# Install dlib deps
+RUN dpkg --add-architecture arm64 && \
+    apt-get update && apt-get install -y \
+    g++-aarch64-linux-gnu \
+    libdlib-dev:arm64 \
+    libjpeg-dev:arm64 \
+    libblas-dev:arm64 \
+    libopenblas-dev:arm64 \
+    libatlas-base-dev:arm64 \
+    liblapack-dev:arm64 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Compiler wrapper for arm64
+RUN printf '#!/bin/bash\nexec aarch64-linux-gnu-gcc "${@//-march=native/-march=armv8-a}"\n' \
+      > /usr/local/bin/arm64-gcc && \
+    printf '#!/bin/bash\nexec aarch64-linux-gnu-g++ "${@//-march=native/-march=armv8-a}"\n' \
+      > /usr/local/bin/arm64-g++ && \
+    chmod +x /usr/local/bin/arm64-gcc /usr/local/bin/arm64-g++
+
+# Compiler variables for cross-compile to arm64
+ENV CGO_ENABLED=1 \
+    GOOS=linux \
+    GOARCH=arm64 \
+    CC=/usr/local/bin/arm64-gcc \
+    CXX=/usr/local/bin/arm64-g++ \
+    PKG_CONFIG_PATH=/usr/lib/aarch64-linux-gnu/pkgconfig
+
+COPY go.mod go.sum ./
+RUN go mod download
+
+# Pre-compile all CGO deps into cache
+RUN go build -v ./... 2>/dev/null || \
+    go list -m all && \
+    CGO_ENABLED=1 GOOS=linux GOARCH=arm64 \
+    go build -gcflags="-trimpath" -v \
+    $(go list -f '{{if .CgoFiles}}{{.ImportPath}}{{end}}' ./...) 2>/dev/null; exit 0
+
+RUN --mount=type=cache,target=/root/.cache/go-build \
+    --mount=type=cache,target=/go/pkg \
+    go mod download
+
+COPY . .
+
+# Build - reuse CGO cache
+RUN --mount=type=cache,target=/root/.cache/go-build \
+    --mount=type=cache,target=/go/pkg \
+    go build -o cameraSession
+
+FROM scratch AS export
+COPY --from=builder /app/cameraSession /cameraSession
@@ -0,0 +1,10 @@
+all:
+	docker buildx build --platform linux/amd64 --cache-from type=local,src=./.docker-cache --cache-to type=local,dest=./.docker-cache --target export --output type=local,dest=./output .
+
+models:
+	wget https://github.com/Kagami/go-face-testdata/raw/master/models/shape_predictor_5_face_landmarks.dat
+	wget https://github.com/Kagami/go-face-testdata/raw/master/models/dlib_face_recognition_resnet_model_v1.dat
+	wget https://github.com/Kagami/go-face-testdata/raw/master/models/mmod_human_face_detector.dat
+
+clean:
+	rm -r output/
@@ -0,0 +1,163 @@
+package main
+
+import (
+	"bufio"
+	"encoding/json"
+	"fmt"
+	"log"
+	"os"
+	"sync"
+
+	"github.com/Kagami/go-face"
+	"github.com/blackjack/webcam"
+)
+
+type InputPacket struct {
+	UUID       string          `json:"uuid"`
+	Descriptor face.Descriptor `json:"descriptor"`
+}
+
+type ResultPacket struct {
+	UUID     string `json:"uuid"`
+	Verified bool   `json:"verified"`
+}
+
+var (
+	rec     *face.Recognizer
+	mtx     sync.Mutex
+	results = make([]ResultPacket, 0)
+)
+
+func captureCameraFrame() ([]byte, error) {
+	cam, err := webcam.Open("/dev/video0")
+	if err != nil {
+		return nil, err
+	}
+	defer cam.Close()
+
+	format := webcam.PixelFormat(uint32(0x47504a4d)) // MJPG
+
+	_, _, _, err = cam.SetImageFormat(format, 1280, 720)
+	if err != nil {
+		return nil, fmt.Errorf("camera format error: %v", err)
+	}
+
+	err = cam.StartStreaming()
+	if err != nil {
+		return nil, err
+	}
+	defer cam.StopStreaming()
+
+	for {
+		err = cam.WaitForFrame(5)
+		if err != nil {
+			continue
+		}
+
+		frame, err := cam.ReadFrame()
+		if err != nil {
+			return nil, err
+		}
+
+		if len(frame) != 0 {
+			result := make([]byte, len(frame))
+			copy(result, frame)
+			return result, nil
+		}
+	}
+}
+
+// verfication thread
+func verifyFace(packet InputPacket, descriptors []face.Descriptor, wg *sync.WaitGroup) {
+	defer wg.Done()
+
+	const threshold = 0.35
+
+	verified := false
+
+	for _, descriptor := range descriptors {
+		distance := face.SquaredEuclideanDistance(packet.Descriptor, descriptor)
+
+		if distance < threshold {
+			verified = true
+			break
+		}
+	}
+
+	mtx.Lock()
+	results = append(results, ResultPacket{
+		UUID:     packet.UUID,
+		Verified: verified,
+	})
+	mtx.Unlock()
+}
+
+func main() {
+	var err error
+
+	// initialize recognizer
+	rec, err = face.NewRecognizer("./models")
+	if err != nil {
+		log.Fatalf("failed to initialize recognizer: %v", err)
+	}
+	defer rec.Close()
+
+	// capture image
+	cameraImage, err := captureCameraFrame()
+	if err != nil {
+		log.Fatalf("failed to read camera: %v", err)
+	}
+
+	// recognize faces from camera input
+	faces, err := rec.RecognizeCNN(cameraImage)
+	if err != nil {
+		log.Fatalf("recognition error: %v", err)
+	}
+
+	if len(faces) == 0 {
+		fmt.Println("no face found.")
+		return
+	}
+
+	var descriptors []face.Descriptor
+
+	// extract descriptors to array
+	for _, f := range faces {
+		descriptors = append(descriptors, f.Descriptor)
+	}
+
+	// read stdin
+	scanner := bufio.NewScanner(os.Stdin)
+	var wg sync.WaitGroup
+
+	for scanner.Scan() {
+		line := scanner.Bytes()
+
+		var packet InputPacket
+
+		err := json.Unmarshal(line, &packet)
+		if err != nil {
+			log.Printf("invalid json packet: %v", err)
+			continue
+		}
+
+		wg.Add(1)
+
+		go verifyFace(packet, descriptors, &wg)
+	}
+
+	if err := scanner.Err(); err != nil {
+		log.Printf("stdin error: %v", err)
+	}
+
+	// wait threads to finish
+	wg.Wait()
+
+	// print results to stdout
+	output, err := json.Marshal(results)
+	if err != nil {
+		log.Fatalf("failed to marshal results: %v", err)
+	}
+
+	fmt.Println(string(output))
+}
@@ -0,0 +1,10 @@
+module OfficeSense/cameraSession
+
+go 1.26.3
+
+require (
+	github.com/Kagami/go-face v0.0.0-20210630145111-0c14797b4d0e
+	github.com/blackjack/webcam v0.6.1
+)
+
+require golang.org/x/sys v0.14.0 // indirect
@@ -0,0 +1,6 @@
+github.com/Kagami/go-face v0.0.0-20210630145111-0c14797b4d0e h1:lqIUFzxaqyYqUn4MhzAvSAh4wIte/iLNcIEWxpT/qbc=
+github.com/Kagami/go-face v0.0.0-20210630145111-0c14797b4d0e/go.mod h1:9wdDJkRgo3SGTcFwbQ7elVIQhIr2bbBjecuY7VoqmPU=
+github.com/blackjack/webcam v0.6.1 h1:K0T6Q0zto23U99gNAa5q/hFoye6uGcKr2aE6hFoxVoE=
+github.com/blackjack/webcam v0.6.1/go.mod h1:zs+RkUZzqpFPHPiwBZ6U5B34ZXXe9i+SiHLKnnukJuI=
+golang.org/x/sys v0.14.0 h1:Vz7Qs629MkJkGyHxUlRHizWJRG2j8fbQKjELVSNhy7Q=
+golang.org/x/sys v0.14.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
@@ -0,0 +1,55 @@
+ARG BUILDPLATFORM=linux/amd64
+FROM --platform=$BUILDPLATFORM golang:1.26-bookworm AS builder
+
+# Install dlib deps
+RUN dpkg --add-architecture arm64 && \
+    apt-get update && apt-get install -y \
+    g++-aarch64-linux-gnu \
+    libdlib-dev:arm64 \
+    libjpeg-dev:arm64 \
+    libblas-dev:arm64 \
+    libopenblas-dev:arm64 \
+    libatlas-base-dev:arm64 \
+    liblapack-dev:arm64 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Compiler wrapper for arm64
+RUN printf '#!/bin/bash\nexec aarch64-linux-gnu-gcc "${@//-march=native/-march=armv8-a}"\n' \
+      > /usr/local/bin/arm64-gcc && \
+    printf '#!/bin/bash\nexec aarch64-linux-gnu-g++ "${@//-march=native/-march=armv8-a}"\n' \
+      > /usr/local/bin/arm64-g++ && \
+    chmod +x /usr/local/bin/arm64-gcc /usr/local/bin/arm64-g++
+
+# Compiler variables for cross-compile to arm64
+ENV CGO_ENABLED=1 \
+    GOOS=linux \
+    GOARCH=arm64 \
+    CC=/usr/local/bin/arm64-gcc \
+    CXX=/usr/local/bin/arm64-g++ \
+    PKG_CONFIG_PATH=/usr/lib/aarch64-linux-gnu/pkgconfig
+
+COPY go.mod go.sum ./
+RUN go mod download
+
+# Pre-compile all CGO deps into cache
+RUN go build -v ./... 2>/dev/null || \
+    go list -m all && \
+    CGO_ENABLED=1 GOOS=linux GOARCH=arm64 \
+    go build -gcflags="-trimpath" -v \
+    $(go list -f '{{if .CgoFiles}}{{.ImportPath}}{{end}}' ./...) 2>/dev/null; exit 0
+
+RUN --mount=type=cache,target=/root/.cache/go-build \
+    --mount=type=cache,target=/go/pkg \
+    go mod download
+
+COPY . .
+
+# Build - reuse CGO cache
+RUN --mount=type=cache,target=/root/.cache/go-build \
+    --mount=type=cache,target=/go/pkg \
+    go build -o extractEmbeddings
+
+FROM scratch AS export
+COPY --from=builder /app/extractEmbeddings /extractEmbeddings
@@ -0,0 +1,10 @@
+all:
+	docker buildx build --platform linux/amd64 --cache-from type=local,src=./.docker-cache --cache-to type=local,dest=./.docker-cache --target export --output type=local,dest=./output .
+
+models:
+	wget https://github.com/Kagami/go-face-testdata/raw/master/models/shape_predictor_5_face_landmarks.dat
+	wget https://github.com/Kagami/go-face-testdata/raw/master/models/dlib_face_recognition_resnet_model_v1.dat
+	wget https://github.com/Kagami/go-face-testdata/raw/master/models/mmod_human_face_detector.dat
+
+clean:
+	rm -r output/
@@ -0,0 +1,126 @@
+package main
+
+import (
+	"bytes"
+	"encoding/base64"
+	"encoding/json"
+	"fmt"
+	"image"
+	"image/jpeg"
+	"io"
+
+	"os"
+
+	"github.com/Kagami/go-face"
+	"golang.org/x/image/draw"
+)
+
+type Result struct {
+	Success    bool            `json:"success"`
+	Descriptor face.Descriptor `json:"descriptor"`
+	Error      string          `json:"error"`
+}
+
+var res Result
+
+func atExit() {
+	resString, err := json.Marshal(res)
+	if err != nil {
+		os.Exit(1)
+	}
+
+	fmt.Println(string(resString))
+
+	os.Exit(0)
+}
+
+func resizeIfNeeded(img image.Image, max int) image.Image {
+	b := img.Bounds()
+	w := b.Dx()
+	h := b.Dy()
+
+	if w <= max && h <= max {
+		return img
+	}
+
+	var scale float64
+	if w > h {
+		scale = float64(max) / float64(w)
+	} else {
+		scale = float64(max) / float64(h)
+	}
+
+	newW := int(float64(w) * scale)
+	newH := int(float64(h) * scale)
+
+	dst := image.NewRGBA(image.Rect(0, 0, newW, newH))
+	draw.BiLinear.Scale(dst, dst.Bounds(), img, b, draw.Over, nil)
+
+	return dst
+}
+
+func main() {
+	defer atExit()
+
+	// Read input image from stdin in Base64 encoding
+	input, err := io.ReadAll(os.Stdin)
+	if err != nil {
+		res.Success = false
+		res.Error = "[STDIN]: " + err.Error()
+		return
+	}
+
+	// Decode Base64
+	image, err := base64.StdEncoding.DecodeString(string(input))
+	if err != nil {
+		res.Success = false
+		res.Error = "[BASE64]: " + err.Error()
+		return
+	}
+
+	imageJPEG, err := jpeg.Decode(bytes.NewReader(image))
+	if err != nil {
+		res.Success = false
+		res.Error = "[JPEG][DECODE]: " + err.Error()
+		return
+	}
+
+	imageJPEG = resizeIfNeeded(imageJPEG, 600)
+
+	var buf bytes.Buffer
+	err = jpeg.Encode(&buf, imageJPEG, &jpeg.Options{Quality: 90})
+	if err != nil {
+		res.Success = false
+		res.Error = "[JPEG][ENCODE]: " + err.Error()
+		return
+	}
+
+	image = buf.Bytes()
+
+	// Create recognizer - provide ./models dir
+	rec, err := face.NewRecognizer("models")
+	if err != nil {
+		res.Success = false
+		res.Error = "[DLIB][INIT]: " + err.Error()
+		return
+	}
+	defer rec.Close()
+
+	faces, err := rec.RecognizeCNN(image)
+	if err != nil {
+		res.Success = false
+		res.Error = "[DLIB][CNN]: " + err.Error()
+		return
+	} else if len(faces) == 0 {
+		res.Success = false
+		res.Error = "[DLIB][CNN]: No face found in image."
+		return
+	} else if len(faces) != 1 {
+		res.Success = false
+		res.Error = "[DLIB][CNN]: Multiple faces found in image."
+		return
+	}
+
+	res.Success = true
+	res.Descriptor = faces[0].Descriptor
+}
@@ -0,0 +1,8 @@
+module OfficeSense/extractEmbeddings
+
+go 1.26.3
+
+require (
+	github.com/Kagami/go-face v0.0.0-20210630145111-0c14797b4d0e
+	golang.org/x/image v0.41.0
+)
@@ -0,0 +1,4 @@
+github.com/Kagami/go-face v0.0.0-20210630145111-0c14797b4d0e h1:lqIUFzxaqyYqUn4MhzAvSAh4wIte/iLNcIEWxpT/qbc=
+github.com/Kagami/go-face v0.0.0-20210630145111-0c14797b4d0e/go.mod h1:9wdDJkRgo3SGTcFwbQ7elVIQhIr2bbBjecuY7VoqmPU=
+golang.org/x/image v0.41.0 h1:8wS72eGJMJaBxK6okTzd4WaXumUlTVlb753MlsSvTCo=
+golang.org/x/image v0.41.0/go.mod h1:uIc348UZMSvS5Z65CVZ7iDPaNobNFEPeJ4kbqTOszmA=
Author	SHA1	Message	Date
Kostas Drakontidis	7e1a7d0eca	verify faces from camera	2026-05-29 23:46:15 +03:00
Kostas Drakontidis	1ac5ddbf33	cross compile files for extract embeddings exec	2026-05-29 23:45:50 +03:00
Kostas Drakontidis	8dffdc9bf9	added go gitignore	2026-05-29 23:45:10 +03:00
Kostas Drakontidis	23116f6a19	move to subdir	2026-05-29 23:18:45 +03:00
Kostas Drakontidis	2badcb92e2	extract from jpeg	2026-05-29 02:02:48 +03:00
Kostas DrakontidisandGitHub	8abae7b9ba	Update progress.md with new completed tasks	2026-05-25 06:04:28 +03:00
Kostas DrakontidisandGitHub	1bce98e083	Merge pull request #17 from dkwstas/nodered_config nodered flow upload	2026-05-25 06:02:13 +03:00
Kostas Drakontidis	92b3c72e3e	nodered flow upload	2026-05-25 06:01:47 +03:00
Kostas DrakontidisandGitHub	41cf0ad7ca	Merge pull request #15 from dkwstas/public_api Public api	2026-05-25 05:58:36 +03:00