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Video Based Dynamic Human Authentication System For Access Control

+

Working of our Solution

+

Though there exists a technology for face recognition based authentication, dynamic human recognition based authentication is highly challenging. For a given entrance gate a hardware-software solution is needed to identify every unique person who enters or exit the gate, with log of all previous entry/exit time, photo/videos recorded.

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  • At the time of entry the faces of people are captured via the security cameras.
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  • The images of the people entering are checked whether they are registered to enter the premises or not. +
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    • if they are registered they can easily enter the premises.
      • +
    • Otherwise the individual is not allowed to enter the premises. That means there is no previous history of an individual. +
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      • The system should immediately alert the security if it is a new person and the security will decide to allow/restrict that person entering inside the premises. +
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        • The person is allowed to enter the premises only if he/she is registered as a guest or as a daily comer.
          • +
        +
        • +
      +
      • +
    +
    • +
  • Security can check the whole log maintained anytime he wishes to from his dashboard.
    • +
+

Our system learns from its previous history of videos/images dynamically to allow a known person. For a given size of the gate, the number of cameras with optimal resolution required is also to be worked out as part of solution.

+

UML Diagram

+

ENTRY

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EXIT

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Solution Flowchart

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ENTRY

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EXIT

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Use Cases

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+ + + + From e4e3b029f7a5f8721ad72bb1b867363284d359b2 Mon Sep 17 00:00:00 2001 From: pratyayrudra Date: Wed, 22 Jan 2020 13:38:11 +0530 Subject: [PATCH 3/6] Final Commit --- gates_server/entry_server.py | 32 +++++++++ gates_server/exit_server.py | 34 +++++++++ security_server/database.py | 68 ++++++++++++++++++ security_server/security_server.py | 92 ++++++++++++++++++++++++ security_server/templates/index.html | 43 ++++++++++++ server.py | 100 --------------------------- 6 files changed, 269 insertions(+), 100 deletions(-) create mode 100644 gates_server/entry_server.py create mode 100644 gates_server/exit_server.py create mode 100644 security_server/database.py create mode 100644 security_server/security_server.py create mode 100644 security_server/templates/index.html delete mode 100644 server.py diff --git a/gates_server/entry_server.py b/gates_server/entry_server.py new file mode 100644 index 0000000..b8f2435 --- /dev/null +++ b/gates_server/entry_server.py @@ -0,0 +1,32 @@ +import requests +import cv2 +import time +import json + +entry = True +gate_no = 1 + +video_capture = cv2.VideoCapture(0) + +process_frame = True + +while True: + if process_frame: + ret, frame = video_capture.read() + cv2.imwrite("entry_frame.jpg",frame) + entry_res = requests.post("http://192.168.43.100:5001/process",files={"file":open('entry_frame.jpg','rb')}) + entry_res_json = json.loads(entry_res.text) + try: + if entry_res_json[0]: + for data in entry_res_json: + if data["face_matched"] and data["index"]: + r = requests.get(f"http://192.168.43.100:5010/check-entry/{data['index']}/{entry}/{gate_no}") + if r.text == "True": + print(f"Welcome {data['name']}") + else: + print(f"Welcome Back {data['name']}") + elif data["face_matched"] == False: + r = requests.post(f"http://192.168.43.100:5010/new-user/{gate_no}",files={"file":open('entry_frame.jpg','rb')}) + print("Unknown") + except: + continue diff --git a/gates_server/exit_server.py b/gates_server/exit_server.py new file mode 100644 index 0000000..7f0895e --- /dev/null +++ b/gates_server/exit_server.py @@ -0,0 +1,34 @@ +from flask import Flask, render_template, Response +import requests +import cv2 +import time +import json + +entry = False +gate_no = 1 + +video_capture = cv2.VideoCapture(0) + +known_captured_index = [] + +process_frame = True + +while True: + if process_frame: + ret, frame = video_capture.read() + cv2.imwrite("exit_frame.jpg",frame) + exit_res = requests.post("http://192.168.43.100:5001/process",files={"file":open('exit_frame.jpg','rb')}) + exit_res_json = json.loads(exit_res.text) + try: + if exit_res_json[0]: + for data in exit_res_json: + if data["face_matched"] and data["index"]: + r = requests.get(f"http://192.168.43.100:5010/check-exit/{data['index']}/{entry}/{gate_no}") + if r.text == "True": + print(f"Bye {data['name']}") + else: + print(f"Bye Again {data['name']}") + # elif data["face_matched"] == False: + # print('Unknown') + except: + continue \ No newline at end of file diff --git a/security_server/database.py b/security_server/database.py new file mode 100644 index 0000000..eb1ebdd --- /dev/null +++ b/security_server/database.py @@ -0,0 +1,68 @@ +from pymongo import MongoClient +import datetime + +db = None +log = None + +client = MongoClient('mongodb://192.168.43.100:27017') + +db = client["face_recognition"] +log = db["log"] +user = db["user"] +unknown = db["unknown"] + +print("Database Started") + +#Log +def insert_log(data,action,gate): + temp = { + "registered": True, + "index": data, + "time": datetime.datetime.now(), + "entry": action, + "gate": gate, + "done": False + } + x = log.insert_one(temp) + print("[DATABASE] Person Entry") + +def exit_log(data,action,gate): + temp = { + "registered": True, + "index": data, + "time": datetime.datetime.now(), + "entry": action, + "gate": gate, + "done": True + } + x = log.insert_one(temp) + print("[DATABASE] Person exit") + +def update_log(index,name): + query = {"name":name,"index":index} + update = { "$set": {"done": True}} + log.update_one(query,update) + +def check_log(index,action,done): + query = {"index":index, "entry": action,"done":done} + data = log.find(query) + print("[DATABASE] Person Check") + if data[0]: + print("Inside") + return True + else: + print("Outside") + return False + +#user +def add_unknown_user(data): + unknown.insert_one(data) + print("[DATABASE] Unknown User created") + +def delete_unknown_user(data): + unknown.delete_one(data) + print("[DATABASE] Unknown user deleted") + +def add_known_user(data): + user.insert_one(data) + print("[DATABASE] New user created") \ No newline at end of file diff --git a/security_server/security_server.py b/security_server/security_server.py new file mode 100644 index 0000000..490f151 --- /dev/null +++ b/security_server/security_server.py @@ -0,0 +1,92 @@ +from flask import Flask, jsonify, request, redirect, url_for, render_template +import requests +import cv2 +import time +import json +import database as db +import random +app = Flask(__name__) + +entered_indexes = [] +unknown_detected = [] + +@app.route('/index') +def index(): + return render_template('index.html', entered=len(entered_indexes), unknown_detected=len(unknown_detected)) + +@app.route('/entry///',methods=['GET']) +def new_entry(index,entry,gate): + entered_indexes.append(index) + db.insert_log(index,entry,gate) + return index + +@app.route('/exit///') +def exit_entry(index,entry,gate): + entered_indexes.remove(index) + db.exit_log(index,entry,gate) + return index + +@app.route('/check-entry///') +def check_entry(index,entry,gate): + if index not in entered_indexes: + i = new_entry(index,entry,gate) + return "True" + else: + return "False" + +@app.route('/check-exit///') +def check_exit(index,entry,gate): + if index in entered_indexes: + i = exit_entry(index,entry,gate) + return "True" + else: + return "False" + +@app.route('/new-user/',methods=['POST']) +def add_user(gate): + if request.method == 'POST': + if 'file' not in request.files: + return redirect(request.url) + + file = request.files['file'] + if file.filename == '': + return redirect(request.url) + + if file and gate not in unknown_detected: + # The image file seems valid! Detect faces and return the result. + print(f"Unknown at gate {gate}") + unknown_detected.append(gate) + file.save(f"Unknown-{gate}.jpg") + data = { + "gate": gate, + "image": f"Unknown-{gate}.jpg" + } + db.add_unknown_user(data) + return "Unknown User" + else: + return "Wait for registration" + +def delete_unknown(gate): + unknown_detected.remove(gate) + data = { + "gate": gate, + "image": f"Unknown-{gate}.jpg" + } + db.delete_unknown_user(data) + +@app.route('/add-new-user',methods=['POST']) +def add_new_user(): + name = request.form.get('name') + gate = request.form.get('gate') + res = requests.post("http://192.168.43.100:5001/add",files={"file":open(f"Unknown-{gate}.jpg",'rb')},data={"name":name}) + res_json = json.loads(res.text) + # user = { + # "name": name, + # "index": res_json['id'] + # } + # db.add_known_user(user) + delete_unknown(gate) + return res.text + +if __name__ == '__main__': + app.run(host='0.0.0.0', debug=True,port=5010) \ No newline at end of file diff --git a/security_server/templates/index.html b/security_server/templates/index.html new file mode 100644 index 0000000..17b73a1 --- /dev/null +++ b/security_server/templates/index.html @@ -0,0 +1,43 @@ + + + + + + + + Security + + + +
+
+

Live Status

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+
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+
No of guests visitors
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+

{{entered}}

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No of total visitors
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+

{{unknown_detected}}

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+ +
+
+ + + + + + \ No newline at end of file diff --git a/server.py b/server.py deleted file mode 100644 index 2694044..0000000 --- a/server.py +++ /dev/null @@ -1,100 +0,0 @@ -import face_recognition -from flask import Flask, jsonify, request, redirect -import pickle -# You can change this to any folder on your system -ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif'} - -app = Flask(__name__) - - -def allowed_file(filename): - return '.' in filename and \ - filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS - -@app.route('/add', methods=['POST']) -def upload_data(): - # Check if a valid image file was uploaded - if request.method == 'POST': - if 'file' not in request.files: - return redirect(request.url) - - file = request.files['file'] - name = request.form['name'] - - if file.filename == '' and name == '': - return redirect(request.url) - - if file and allowed_file(file.filename) and name: - # The image file seems valid! Detect faces and return the result. - return add_new_face(file,name) - -@app.route('/process', methods=['POST']) -def upload_image(): - # Check if a valid image file was uploaded - if request.method == 'POST': - if 'file' not in request.files: - return redirect(request.url) - - file = request.files['file'] - - if file.filename == '': - return redirect(request.url) - - if file: - # The image file seems valid! Detect faces and return the result. - return detect_faces_in_image(file) - -def add_new_face(image,name): - img = face_recognition.load_image_file(image) - # Get face encodings for any faces in the uploaded image - unknown_face_locations = face_recognition.face_locations(img) - unknown_face_encodings = face_recognition.face_encodings(img,unknown_face_locations) - - known_encodings = pickle.load(open('known_encodings.pickle','rb')) - known_names = pickle.load(open('known_names.pickle','rb')) - - known_encodings.append(unknown_face_encodings[0]) - known_names.append(name) - - pickle.dump(known_encodings,open('known_encodings.pickle','wb')) - pickle.dump(known_names,open('known_names.pickle','wb')) - - return jsonify({"success":True,"id":known_names.index(name)}) - -def detect_faces_in_image(file_stream): - known_encodings = pickle.load(open('known_encodings.pickle','rb')) - known_names = pickle.load(open('known_names.pickle','rb')) - # Load the uploaded image file - img = face_recognition.load_image_file(file_stream) - # Get face encodings for any faces in the uploaded image - unknown_face_locations = face_recognition.face_locations(img) - unknown_face_encodings = face_recognition.face_encodings(img,unknown_face_locations) - - results = [] - - for (face_encoding,face_location) in zip(unknown_face_encodings,unknown_face_locations): - # See if the face is a match for the known face(s) - matches = face_recognition.compare_faces(known_encodings, face_encoding) - index = -1 - name = "" - found = False - location = face_location - # # If a match was found in known_face_encodings, just use the first one. - if True in matches: - first_match_index = matches.index(True) - name = known_names[first_match_index] - found = True - index = matches.index(True) - - result = { - "face_matched": found, - "name": name, - "location": location, - "index": index - } - results.append(result) - - return jsonify(results) - -if __name__ == "__main__": - app.run(host='0.0.0.0', port=5001, debug=True) \ No newline at end of file From 6412cb0c4430a3b668d4cd104524b3390df036a2 Mon Sep 17 00:00:00 2001 From: pratyayrudra Date: Wed, 22 Jan 2020 13:44:32 +0530 Subject: [PATCH 4/6] Create README.md --- README.md | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..41445c4 --- /dev/null +++ b/README.md @@ -0,0 +1,40 @@ +# Video Based Dynamic Human Authentication System For Access Control + +## Working of our Solution + +Though there exists a technology for face recognition based authentication, dynamic human recognition based authentication is highly challenging. For a given entrance gate a hardware-software solution is needed to identify every unique person who enters or exit the gate, with log of all previous entry/exit time, photo/videos recorded. +- At the time of entry the faces of people are captured via the security cameras. +- The images of the people entering are checked whether they are registered to enter the premises or not. + - if they are registered they can easily enter the premises. + - Otherwise the individual is not allowed to enter the premises. That means there is no previous history of an individual. + - The system should immediately alert the security if it is a new person and the security will decide to allow/restrict that person entering inside the premises. + - The person is allowed to enter the premises only if he/she is registered as a guest or as a daily comer. +- Security can check the whole log maintained anytime he wishes to from his dashboard. + +Our system learns from its previous history of videos/images dynamically to allow a known person. For a given size of the gate, the number of cameras with optimal resolution required is also to be worked out as part of solution. + + +## UML Diagram + +### ENTRY + +[![](https://mermaid.ink/img/eyJjb2RlIjoic2VxdWVuY2VEaWFncmFtXG5QZXJzb24gLT4-IENhbWVyYTogRmV0Y2hlcyBldmVyeSBmcmFtZVxuQ2FtZXJhIC0tPiBBV1MgYW5kIERhdGFiYXNlOiBQcm9jZXNzZXMgdGhlIGZyYW1lIGFuZCBDaGVja3Mga25vd24gb3IgdW5rbm93blxuQVdTIGFuZCBEYXRhYmFzZSAtLT4-IExvZyBFbnRyeSA6IEtub3duICBcbkFXUyBhbmQgRGF0YWJhc2UgLS1YIFNlY3VyaXR5IDogVW5rbm93biBOb3RpZmllZFxuU2VjdXJpdHkgLT4-IFBlcnNvbiA6IFNlY3VyaXR5IENoZWNrXG5QZXJzb24gLS0-PiBBV1MgYW5kIERhdGFiYXNlOiBDaGVja2luZyBjbGVhciBhbmQgUmVnaXN0cmF0aW9uIGRvbmVcbkFXUyBhbmQgRGF0YWJhc2UgLS0-PiBMb2cgRW50cnkgOiBFbnRyeSBvZiB0aGUgbmV3IHJlZ2lzdHJhdGlvblxuTG9nIEVudHJ5IC0-PiBTZWN1cml0eSA6IE5ldyBFbnRyeSBOb3RpZmllZFxuIiwibWVybWFpZCI6eyJ0aGVtZSI6ImRlZmF1bHQifX0)](https://mermaid-js.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoic2VxdWVuY2VEaWFncmFtXG5QZXJzb24gLT4-IENhbWVyYTogRmV0Y2hlcyBldmVyeSBmcmFtZVxuQ2FtZXJhIC0tPiBBV1MgYW5kIERhdGFiYXNlOiBQcm9jZXNzZXMgdGhlIGZyYW1lIGFuZCBDaGVja3Mga25vd24gb3IgdW5rbm93blxuQVdTIGFuZCBEYXRhYmFzZSAtLT4-IExvZyBFbnRyeSA6IEtub3duICBcbkFXUyBhbmQgRGF0YWJhc2UgLS1YIFNlY3VyaXR5IDogVW5rbm93biBOb3RpZmllZFxuU2VjdXJpdHkgLT4-IFBlcnNvbiA6IFNlY3VyaXR5IENoZWNrXG5QZXJzb24gLS0-PiBBV1MgYW5kIERhdGFiYXNlOiBDaGVja2luZyBjbGVhciBhbmQgUmVnaXN0cmF0aW9uIGRvbmVcbkFXUyBhbmQgRGF0YWJhc2UgLS0-PiBMb2cgRW50cnkgOiBFbnRyeSBvZiB0aGUgbmV3IHJlZ2lzdHJhdGlvblxuTG9nIEVudHJ5IC0-PiBTZWN1cml0eSA6IE5ldyBFbnRyeSBOb3RpZmllZFxuIiwibWVybWFpZCI6eyJ0aGVtZSI6ImRlZmF1bHQifX0) + +### EXIT +[![](https://mermaid.ink/img/eyJjb2RlIjoic2VxdWVuY2VEaWFncmFtXG5QZXJzb24gLT4-IENhbWVyYTogRmV0Y2hlcyBldmVyeSBmcmFtZVxuQ2FtZXJhIC0tPiBBV1MgYW5kIERhdGFiYXNlOiBQcm9jZXNzZXMgdGhlIGZyYW1lIGFuZCBDaGVja3Mgd2hvIHRoZSBwZXJzb24gaXNcbkFXUyBhbmQgRGF0YWJhc2UgLS0-PiBMb2cgRW50cnkgOiBFeGl0IHRpbWUgb2YgdGhlIHBlcnNvbiB1cGRhdGVkIGF1dG9tYXRpY2FsbHkgICIsIm1lcm1haWQiOnsidGhlbWUiOiJkZWZhdWx0In19)](https://mermaid-js.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoic2VxdWVuY2VEaWFncmFtXG5QZXJzb24gLT4-IENhbWVyYTogRmV0Y2hlcyBldmVyeSBmcmFtZVxuQ2FtZXJhIC0tPiBBV1MgYW5kIERhdGFiYXNlOiBQcm9jZXNzZXMgdGhlIGZyYW1lIGFuZCBDaGVja3Mgd2hvIHRoZSBwZXJzb24gaXNcbkFXUyBhbmQgRGF0YWJhc2UgLS0-PiBMb2cgRW50cnkgOiBFeGl0IHRpbWUgb2YgdGhlIHBlcnNvbiB1cGRhdGVkIGF1dG9tYXRpY2FsbHkgICIsIm1lcm1haWQiOnsidGhlbWUiOiJkZWZhdWx0In19) + + +## Solution Flowchart + +### ENTRY + +[![](https://mermaid.ink/img/eyJjb2RlIjoiZ3JhcGggTFJcbkFbUGVyc29uXSAtLUNhbWVyYSBjYXB0dXJlcyBhbmQgZGV0ZWN0cyAtLT4gQigoS25vd24pKVxuQS0tQ2FtZXJhIGNhcHR1cmVzIGFuZCBkZXRlY3RzIC0tPiBDKChVbmtub3duKSlcbkIgLS0-IEQoQWxsb3dzIEVudHJ5KVxuRCAtLT4gR3tEYXRhYmFzZSBMb2cgRW50cnl9XG5DIC0tPiBFKFNlY3VyaXR5IENoZWNrKVxuRSAtLUFsbG93cy0tPiBGKChSZWdpc3RlcikpXG5GIC0tPiBLKChBbGxvd3MgRW50cnkpKVxuSyAtLT4gSHtEYXRhYmFzZSBMb2cgRW50cnl9XG5HIC0tPiBJW1NlY3VyaXR5IE9mZmljZV1cbkggLS0-IEkiLCJtZXJtYWlkIjp7InRoZW1lIjoiZGVmYXVsdCJ9fQ)](https://mermaid-js.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoiZ3JhcGggTFJcbkFbUGVyc29uXSAtLUNhbWVyYSBjYXB0dXJlcyBhbmQgZGV0ZWN0cyAtLT4gQigoS25vd24pKVxuQS0tQ2FtZXJhIGNhcHR1cmVzIGFuZCBkZXRlY3RzIC0tPiBDKChVbmtub3duKSlcbkIgLS0-IEQoQWxsb3dzIEVudHJ5KVxuRCAtLT4gR3tEYXRhYmFzZSBMb2cgRW50cnl9XG5DIC0tPiBFKFNlY3VyaXR5IENoZWNrKVxuRSAtLUFsbG93cy0tPiBGKChSZWdpc3RlcikpXG5GIC0tPiBLKChBbGxvd3MgRW50cnkpKVxuSyAtLT4gSHtEYXRhYmFzZSBMb2cgRW50cnl9XG5HIC0tPiBJW1NlY3VyaXR5IE9mZmljZV1cbkggLS0-IEkiLCJtZXJtYWlkIjp7InRoZW1lIjoiZGVmYXVsdCJ9fQ) + +### EXIT + +[![](https://mermaid.ink/img/eyJjb2RlIjoiZ3JhcGggTFJcbkFbUGVyc29uXSAtLUNhbWVyYSBjYXB0dXJlcyBhbmQgZGV0ZWN0cyAtLT4gQigoS25vd24pKVxuQiAtLT4gQ1tVcGRhdGVzIHRoZSBMb2cgd2l0aCB0aGUgZGV0ZWN0ZWQgcGVyc29uJ3MgZXhpdCB0aW1lXSAgIiwibWVybWFpZCI6eyJ0aGVtZSI6ImRlZmF1bHQifX0)](https://mermaid-js.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoiZ3JhcGggTFJcbkFbUGVyc29uXSAtLUNhbWVyYSBjYXB0dXJlcyBhbmQgZGV0ZWN0cyAtLT4gQigoS25vd24pKVxuQiAtLT4gQ1tVcGRhdGVzIHRoZSBMb2cgd2l0aCB0aGUgZGV0ZWN0ZWQgcGVyc29uJ3MgZXhpdCB0aW1lXSAgIiwibWVybWFpZCI6eyJ0aGVtZSI6ImRlZmF1bHQifX0) + + +## Use Cases + +[![](https://mermaid.ink/img/eyJjb2RlIjoiZ3JhcGggVEJcbkEoSFVNQU4gQVVUSEVOVElDQVRJT04gU1lTVEVNKSAtLT4gQigoU0NIT09MUykpXG5BLS0-QygoQ09MTEVHRVMvIFVOSVZFUlNJVElFUykpXG5BLS0-RCgoT0ZGSUNFUykpXG5BLS0-RSgoUkVTSURFTlRJQUwgQ09NUExFWEVTKSlcbkEtLT5GKChCSUcgTUFOU0lPTlMpKSIsIm1lcm1haWQiOnsidGhlbWUiOiJkZWZhdWx0In19)](https://mermaid-js.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoiZ3JhcGggVEJcbkEoSFVNQU4gQVVUSEVOVElDQVRJT04gU1lTVEVNKSAtLT4gQigoU0NIT09MUykpXG5BLS0-QygoQ09MTEVHRVMvIFVOSVZFUlNJVElFUykpXG5BLS0-RCgoT0ZGSUNFUykpXG5BLS0-RSgoUkVTSURFTlRJQUwgQ09NUExFWEVTKSlcbkEtLT5GKChCSUcgTUFOU0lPTlMpKSIsIm1lcm1haWQiOnsidGhlbWUiOiJkZWZhdWx0In19) From 5abe51dd02b215e1535ae5fd61ee696a63e3afd6 Mon Sep 17 00:00:00 2001 From: pratyayrudra Date: Wed, 22 Jan 2020 13:45:09 +0530 Subject: [PATCH 5/6] Delete app.py --- app.py | 24 ------------------------ 1 file changed, 24 deletions(-) delete mode 100644 app.py diff --git a/app.py b/app.py deleted file mode 100644 index 18f0009..0000000 --- a/app.py +++ /dev/null @@ -1,24 +0,0 @@ -#Imports -import face_recognition -import cv2 -import pickle -import pymongo -from flask import Flask - -# Flask constructor -app = Flask(__name__) - -#Connecting to mongoDB -client = pymongo.MongoClient("mongodb://localhost:27017/") -#Connection to database -mydb = client["face-recognition"] - -#Known people table -knowncol = mydb["known"] -#Unknown people table -unknowncol = mydb["unknown"] - - -if __name__ == '__main__': - - app.run(debug=True) \ No newline at end of file From 23dcc20f2f606b665143835ebf6b1eac65adedce Mon Sep 17 00:00:00 2001 From: pratyayrudra Date: Wed, 22 Jan 2020 13:57:15 +0530 Subject: [PATCH 6/6] Setting tolerance --- face_recognition_server/server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/face_recognition_server/server.py b/face_recognition_server/server.py index 5017484..8381185 100644 --- a/face_recognition_server/server.py +++ b/face_recognition_server/server.py @@ -74,7 +74,7 @@ def detect_faces_in_image(file_stream): for (face_encoding,face_location) in zip(unknown_face_encodings,unknown_face_locations): # See if the face is a match for the known face(s) - matches = face_recognition.compare_faces(known_encodings, face_encoding) + matches = face_recognition.compare_faces(known_encodings, face_encoding,tolerance=0.5) index = -1 name = "" found = False