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A New Criminal Detector – Works With Advanced Face Detector

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For the first time, scientists from the Shanghai Jiao Tong University have developed a new program to detect criminality just by analyzing facial features. Through supervise machine learning, they built four classifiers using facial images of 1856 real persons. Nearly half of them were criminals. The four classifiers are the logistic regression, KNN, SVM, CNN. All four classifiers perform consistently and generate proof for the validity of automated face-induced inference on criminality.

The criminal and non-criminal face images occupy two different manifolds. It consists of both criminal and non-criminal faces that are concentric. It means normal people have a greater degree of similarity as compared to criminal people faces.

Katyanna Quach, said, “It is true that machines don’t have emotions or conscience to consider as subjective. But that doesn’t mean data can’t get biased. The researchers maintained the data sets for the race, gender, age and facial expressions.”

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Researchers said, “This is the first study that automates face-induced inference on criminality. It is free of any biases of subjective judgments of human observers. By extensive experiments and vigorous cross validations, we have demonstrated that via supervised machine learning, data-driven face classifiers are able to make reliable inference on criminality.

Two Chinese researchers, Xiaolin Wu and Xi Zhang are quite serious about their work. They fed into a machine learning algorithm facial images of 1,856 people. For this, they used standard ID photographs (not mugshots) of Chinese males between the ages of 18 and 55. The men did not have facial hair. Additionally, they were tensed about the criminal face images in Sc are normal ID photos, not police mugshots. After that, they used 90 percent of these images to train a convolutional neural network to recognize the difference. They then tested the neural net on the remaining 10 percent of the images.

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n go back, the classifiers executed very well and gave proof for the validity of automatic face-prompted inference on criminal activity.

In return, the classifiers performed very well and gave proof for the validity of automated face-induced inference on criminality.

According to MIT Technology Review’s discussion, the neural network could correctly identify criminals and noncriminals with an accuracy of 89.5 percent. Researchers found that criminals have 19.6 per cent smaller nose-mouth angle, a larger upper lip curvature at 23.4 percent, and a 5.6 percent shorter distance between the inner corners of the eyes.

Quach said, “researchers have found some discriminating structural features for predicting criminality. For example, lip curvature, eye inner corner distance, and the so-called nose-mouth angle.”

“By looking at their findings, it’s bad news for those who have smaller mouths, curvier upper lips, and close-set eyes, as you look more like a crook, apparently. On average, criminals have a 19.6 percent smaller nose-mouth angle, a larger upper lip curvature at 23.4 percent, and a 5.6 percent shorter distance between the inner corners of the eyes.”

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There is no such software created in a vacuum. People designed software. People who set out to infer criminality from facial features are not free from inherent bias.

By looking forward, MIT Technology review said, “Of course, this work needs to set on a much stronger foot. It needs to be reproduced with different ages, sexes, ethnicities, and so on. And on much larger data sets. All this heralds a new era of ‘anthropometry, criminal or otherwise,’ and there is room for more research as machines become more capable.”

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Employment seeking girl steals N108k from her prospective employer

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Opportunity comes but once, this young girl believes as she stole N108k from her prospective employer. A female jobseeker has been captured for taking One Hundred and Eight Thousand Naira amid her prospective employee meeting in Delta State.

It was accumulated that the businessperson at the organization had ventured out to get something, leaving the suspect in the workplace. The young lady professedly utilized the chance to take N108k and fled.

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Good fortune, be that as it may, ran out on her, days after the fact, while going through the road where the workplace is found. She was expeditiously caught and dragged to her home where the rest of the cash was recovered.

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Lagos tenant uses Landlord’s apartment to dupe house appliance vendors of N50 million

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Read this narration by twitter handle, @Wenogetjob, which tells of how he eavesdropped on a couples conversation of a duping man. The man rented a house for 2 month, bought expensive items worth up to N50 million on credit. Left the rented apartment with all the appliances he has not paid for, after winning the trust of the sellers.

Hey peepz, I have a gist tho I don’t know if it’s true or not..But I will say it Sha. I was just walking on the street 2receive fresh air when I saw a couple. d man was telling his wife about an incident. I kukuma slowed down an walked behind them to hear d full gist.

It was more like a scam story. A certain man walked up to a Landlord in our area and requested to rent his apartment for 2 months, with the excuse that he was traveling to Canada and just came to Lagos for the Visa Processing.. They agreed on 150K.

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The man paid and took ownership of the apartment.He then went out to Vendors in town and negotiated to buy expensive items on lease. With installment payment plans.. He was said to have collected home appliance worth N50,000,000 from various vendors.

He then took them all to the apartment one by one to build trust. At least once they know he lives there, they can easily come around and pack their stuffs if he defaults, these people didn’t know what would hit them was going to be deadlier than Tsunami.

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As agreed with the Landlord, the man packed out even earlier than expected… Left with all the items, of which he had not finished the payment..and the Landlord was so happy to have struck a better deal He immediately rented out the apartment to another family.

One by one, the creditors began to come in and same story was relieved to them.. Some fainted, some threatened hell fire …. To cut the long story short, Baba Ijebu was arrested alongside the new tenant.. You know Naija now… #POLICE  no wan hear wuen

They were only saved after a Landlord intervened. He is a legal practitioner and took up the case. But sincerely speaking. I wonder how some people feel at rest knowing fully well their victims would suffer.  I guess it all centers on lack of conscience. This is bad #dojon

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https://platform.twitter.com/widgets.js Read Also: UPDATE!!! Offa Bank robbers caught by the phones they gave their girlfriends

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How a middle-aged man died after withdrawing N100,200 from the bank will shock you

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How a middle-aged man died after withdrawing N100,200 from the bank will shock you

What could have taken the life of a middle-aged man, identified only as Muyibi, who collapsed and died in a commercial cab in the Ojota area of Lagos State.

PUNCH Metro reports that Muyibi boarded the cab after withdrawing money from a United Bank for Africa branch in the Ogudu area. Then the driver had turned to to take his fee from Muyibi when he realized the man had become motionless. After reaching the terminus, a resident told Punch’s correspondent that the driver alighted from the cab to slightly push Muyibi, who was cold.

The resident, who did not want to be identified, said,

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“The driver had picked some other passengers along the way, and they had all paid and dropped off at their various bus stops.
“When the victim did not respond when they got to the terminus, the driver parked the cab to rouse him, but he was cold.
The driver raised the alarm, which drew the attention of commuters and passersby to the scene. People checked him and discovered that the man was dead.”

Policemen from the Ogudu division were said to have been alerted to the incident. The driver’s vehicle was impounded just like that, while the man’s body was deposited in a morgue.

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A source person at the terminus who spoke with Punch newspaper confirmed the incident, saying:

“It happened around 3pm on Friday. The man went to withdraw some money in UBA. The Ogudu Divisional Police Officer was compassionate; she pitied the cab driver, who had become jittery.
Although the man was not detained, his cab was impounded at the station pending when the deceased’s family would show up,” he added.

Lagos state Police Public Relations Officer, SP Chike Oti, said the police recovered N100,200 from the victim’s bag.

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He said:

“The man was on his way to Ojota when he collapsed and died. We recovered the sum of N100,200 from his bag.
He also had a phone, which had a new SIM card. There is no contact on the phone and nobody has called him. We have a lead as to where he could be living.
His body has been deposited in a morgue for autopsy.”

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