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Are you struggling to find ways to innovate your photo booth offering? 

The Photo Booth industry is constantly changing, with new concepts and ideas popping up all the time. 

If you’re not staying up to date on all the trends, you could be losing out on hundreds of high-paying potential clients.

That’s why the team at Snappic is always looking to advance their photo booth software. They need to aid you maximize your enterprise’ potential by providing you with the most recent and best options.

That’s the place their newest photograph sales space innovation is available in: AI Segmentation. 

This superior function (unique to Snappic’s iOS-based photograph sales space software program) is a game-changer relating to video output. Make the most of this in your sales space providing, and also you’ll zoom previous all of the competitors!

So what precisely is AI Segmentation?

We’ve all heard of Synthetic Intelligence, however are you aware the way it’s been used to progress the photograph sales space business?

From facial recognition to background elimination, AI has been very important in creating superior new options which have made photograph cubicles simpler to make use of and extra thrilling for friends. 

The builders at Snappic have now used good AI software program to create one other game-changing new function: AI Segmentation. 

How does all of it work? 

The AI software program differentiates between the human topics and background in any video, and primarily segments (or divides) the video into two separate components. You possibly can then add completely different results and overlays to those two components. And right here’s the most effective half: all of it occurs throughout the Snappic app, in real-time at your occasion. 

How will AI Segmentation enhance your Photograph Sales space movies?

Put new life into your movies utilizing this unbelievable function. Relying on what kind of sales space you personal, there’s room for a lot of artistic alternatives that may wow your purchasers!

Everyone seems to be entering into 360 booths nowadays, so why not keep forward of the curve with AI Segmentation. This function is an ideal solution to put a larger deal with the themes of your 360 movies. For instance, you can also make the background black and white, and make the individuals on the platform stand out with a chromatic aberration impact. There are countless combos, so get your artistic juices flowing!

Take your movies to the subsequent degree and create custom-made experiences together with your movies. Put a themed or branded animated background behind your topics, add enjoyable results to make the friends pop, use freeze frames and pans… The probabilities are countless.

You should utilize this function to make weddings, events, model activations, festivals, and nearly any occasion far more memorable and thrilling! 

How will AI Segmentation enhance your Photograph Sales space Enterprise?

Make more cash!

Cost premium costs for using this function in your movies, as your purchasers might be amazed by the output. And also you usually tend to go viral with the movies, resulting in extra paid gigs!

Guide greater gigs!

You may method bigger companies and promote some revolutionary model activations. Goal the high-end marriage ceremony scene and provides the comfortable couple some wonderful movies they’ll cherish eternally. 

Keep forward of the competitors!

Create a singular providing that your opponents can’t match. By mastering AI Segmentation, you’ll be able to keep forward within the photograph sales space business and supply companies that different photograph sales space companies can’t.

Is AI Segmentation a Green Display substitute?

We don’t suggest utilizing AI Segmentation to switch a bodily green display on knowledgeable degree. That is primarily as a result of the good AI software program will choose up any human topics within the video and apply the impact to each particular person within the video. So in case your 360 sales space is about up in a busy space with tons of individuals hanging round, it should apply the identical impact that’s in your essential topic on to the individuals within the background as properly.

Nevertheless, in case your background is much less busy and there aren’t another human topics round, you may get away with utilizing this function as a green display substitute (and not using a bodily green display). Which is a good way to reduce the quantity of apparatus you might want to carry to occasions.

So, prepared to check out this superior new function?

Join a Snappic account and get began! Stay help is offered 24/7 if you happen to want any assist all through your Snappic journey. We are able to’t wait to see what you are able to do with AI Segmentation!









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AI Applications for Border Transportation

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AI Applications for Border Transportation

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On any given day, 500,000 passengers and pedestrians, 150,000 privately owned automobiles, and roughly $7.6 billion price of imported items cross U.S. borders. Delays on the crossing factors alongside the border are a recurring drawback. A restricted variety of brokers, officers, and authorities professionals conduct operations throughout more than 300 ports of entry day by day, which might expertise sudden surges or declines in site visitors quantity. Wait instances to enter the U.S. from Mexico can exceed 10 hours and price upwards of $7 billion in financial exercise yearly. 

Instance of vehicles backed up ready to cross the Mexico – U.S. Border

DataRobot’s AI Cloud Platform can allow efficient and safe border transportation by predicting exercise at crossing factors to assist higher choices about staffing ranges. This use case can cut back wait instances to spur financial commerce, in addition to guarantee sufficient personnel are readily available to display for unlawful items and felony exercise. As an example, day by day Customs and Border Safety (CBP) arrests a mean of 25 needed criminals at ports of entry and seizes over 4,700 pounds of medication. Having extra brokers in the suitable spot for more practical inspections can enhance these seizures and assist preserve America extra protected. AI-enabled staffing may enhance effectivity by predicting durations the place exercise will likely be low and permit CBP to scale back staffing to minimal ranges with out impacting danger.

Division of Transportation Information

Example of border transport data from USDOT
Instance of border transport information from USDOT

The U.S. Division of Transportation (USDOT) Bureau of Transportation Statistics (BTS) present publicly-available month-to-month abstract statistics for each the U.S.-Canada and U.S.-Mexico borders on the port-of-entry degree. The database comprises entry information from Mexico to the U.S. for 26 years relationship again to 1996. It consists of pedestrian, bus, private automobile, rail container, prepare, and truck information. For this instance, DataRobot is simply predicting truck crossings.

An instance of the truck information is proven to the left. This picture shows the entire truck crossings per port of entry in January 2021. On this instance, DataRobot used all 26 years of knowledge to foretell sudden will increase or decreases in truck crossings at a selected port of entry for the subsequent month. 

DataRobot Time Collection Modeling

DataRobot’s Automated Time Series Modeling quickly builds forecasting fashions to scale throughout a company’s wants. Time sequence modeling is totally different from different sorts of machine learning and requires specialised information dealing with, preprocessing, and modeling capabilities. Utilizing DataRobot’s built-in automation and no-code person interface, customers can simply entry the full-spectrum of time-based machine studying strategies. DataRobot routinely identifies the ports of entries as different series within the dataset and treats them independently. DataRobot additionally routinely handles sophisticated time sequence necessities like date and time partitioning whereas producing explainable predictions and visualizations, which will increase mannequin explainability and builds belief with customers.

Predicting Border Surges

On this instance, the DataRobot group used truck information from the USDOT dataset to forecast the subsequent month’s complete truck crossings at every port of entry utilizing the DataRobot AI Cloud Platform. With this data, leaders might modify staffing ranges, alter lane openings and closures, and plan main repairs round surges or shortfalls in anticipated quantity, thereby lowering wait instances and rising commerce throughput.

An indicator variable was created within the dataset to account for COVID-19 (often called a “regime change” in information science). For extra correct predictions, truck site visitors may very well be aggregated at a extra exact degree similar to hourly or day by day. DataRobot model efficiency may be improved by coaching on organizational-specific information similar to border-specific occasions and historic staffing ranges at ports of entry.

A six-month feature derivation window generated the most effective outcomes for forecasting the truck volumes of the subsequent month. DataRobot allows fast and simple iterations of assorted backtest configurations to quickly discover the most effective performing mannequin parameters. DataRobot additionally took the 9 authentic enter options and generated 135 new options throughout automated Feature Discovery to extend the mannequin efficiency. Utilizing these new options, DataRobot routinely constructed 63 fashions for comparability.

Instance of mannequin accuracy over time

Abstract

DataRobot rapidly produced a multi-series time sequence forecasting mannequin able to predicting surges of truck site visitors at every port of entry throughout the southwest border. Efficiency of the mannequin dropped instantly across the starting of COVID-19, then quickly regained accuracy. DataRobot Time Collection modeling may be utilized to quite a few use circumstances throughout homeland safety organizations together with staffing, demand forecasting, provide chain administration, predictive upkeep, anomaly detection, and extra. Contact a member of the DataRobot group at the moment to see how your group can develop into AI-driven.

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Game-changer AI tool will save mothers and babies

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Game-changer AI tool will save mothers and babies

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A brand new prototype AI diagnostic check for pre-eclampsia developed by a multi-disciplinary Irish group will hopefully save hundreds of lives world wide.

Preeclampsia impacts 1 in 10 pregnancies and causes the deaths of at the least 50,000 moms and 500,000 infants worldwide yearly. It’s a critical being pregnant complication and prognosis stays a major problem.

Utilizing cloud-based expertise, an Irish group has now developed a prototype AI-based machine studying instrument that has proven nice promise in figuring out pre-eclampsia when it develops, and the way extreme it would turn out to be. Medical groups will be capable of use this instrument – AI_PREMie – to hopefully make important life-saving choices for infants and moms in real-time.

AI_PREMie is a high-quality speedy pre-eclampsia prototype check born of mixed biomedical, medical and machine studying know-how. It’s utilising the SAS Viya analytics engine operating on Microsoft Azure to assist establish ladies with pre-eclampsia.

Making an attempt to establish pre-eclampsia biomarkers in a mom’s blood is like on the lookout for a needle in a haystack, says Prof Patricia Maguire, Professor of Biochemistry at College Faculty Dublin. The AI_PREMie algorithm will hopefully allow the medical group to establish ladies with pre-eclampsia and the way extreme it’d turn out to be, rapidly and simply.

Prof Maguire is main on the AI_PREMie challenge with advisor haematologist Professor Fionnuala Ní Ainle and the supervisor of the College Faculty Dublin AI for Healthcare Hub, Dr Paulina Szklanna. Their multidisciplinary group additionally entails knowledge scientists from UCD in addition to obstetricians and lab scientists from all Dublin maternity hospitals – Nationwide Maternity Hospital, the Rotunda Hospital and the Coombe Maternity Hospital.

Defending and saving at-risk infants

The one ‘remedy’ for pre-eclampsia is supply of the newborn, however that’s usually pre-term and untimely infants can face many well being challenges. A minimum of 5 million infants worldwide are born prematurely yearly because of pre-eclampsia they usually account for an enormous proportion of annual admissions to neonatal intensive care items.

AI_PREMie may be helpful in direction of predicting whether or not a lady will progress to extreme pre-eclampsia, allowing a extra correct timing of supply, and probably permitting a child to stay in utero for a number of extra treasured hours or days, impacting their survival probabilities and their long-term well being.

The choice generally is a troublesome one, healthcare professionals should resolve: whether or not to ship a child because of concern over the mom’s security, or to maintain child in-utero for so long as attainable

That is in response to Assoc. Prof Jennifer Donnelly, of College Faculty Dublin and Guide Obstetrician, on the Rotunda Hospital, and a member of the AI_PREMie group.

A future easy-to-use real-time instrument

AI_PREMie makes use of highly effective machine-learning algorithms to mix distinctive biochemical indicators with medical details about sufferers, resembling blood assessments, demographics and medical opinion.

Not solely will the check hopefully extra precisely diagnose pre-eclampsia, however it might additionally predict the longer term severity of illness. That danger stratification means the medical group can time the newborn’s supply with extra accuracy. The extra time the group can provide the newborn within the womb, the higher the newborn’s probability of survival and optimum long-term neurodevelopment.

Sooner or later, by performing their evaluation utilizing normal tools within the hospital lab in addition to within the cloud, the group consider that AI_PREMie will return an simply interpretable danger rating inside a couple of hours to help medical decision-making in real-time.

Set to revolutionise being pregnant care

The molecular biomarkers underlying AI_PREMie gained the UCD NOVA Invention of the 12 months in 2021. The check remains to be within the analysis part and is at the moment being piloted in three Dublin maternity hospitals, capturing 50% of all Irish births.

This instrument will fill a long-standing hole in maternal healthcare, with the group behind it believing it would turn out to be a part of being pregnant screening programmes globally inside 5 years. The usage of superior cloud expertise implies that AI_PREMie will frequently study and evolve as soon as it’s carried out into widespread medical observe.

This may scale back prices to the well being service. In Eire, for instance, a pre-eclamptic being pregnant has usually price the well being service greater than twice an uncomplicated being pregnant, with the nationwide price of pre-eclampsia estimated at €9.1m.

Survivors of preeclampsia have a lifelong elevated danger of creating different persistent illnesses, resembling coronary heart and vascular illness. Actually, preeclampsia is related to a fourfold elevated danger of creating kidney failure inside 10 years after being pregnant. This danger is elevated even additional by having a couple of preeclamptic being pregnant, a low-birthweight offspring, or a preterm supply. Subsequently, any enchancment in medical decision-making can have huge preventative potential on the long-term well being of the inhabitants and future healthcare useful resource necessities.

The impression of AI_PREMie might be a game-changer in tackling pre-eclampsia. As a clinician, I can’t wait to make use of it as a part of our care.

So says Professor Mary Higgins, UCD College of Drugs, College Faculty Dublin, who’s a advisor obstetrician on the Nationwide Maternity Hospital, Dublin and Societal Champion on the AI_PREMie group.

Uncover how you can harness the facility of machine studying with Microsoft Azure.

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4 Ways Penetration Testing Services Help Protect Your Business Data

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4 Ways Penetration Testing Services Help Protect Your Business Data

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Penetration testing is a security exercise where a white-hat hacker hacks into your computer system to check for any vulnerability that could compromise the confidentiality of your business data. The white-hat hacker will use internal and external attacks on your network devices, servers, intranets, web applications, and wireless networks. 

After hacking your system, the white-hat hacker will generate a report of their findings and recommend effective security controls. Here are four ways penetration testing can help protect your business data. 

A High-Level Management Report 

Penetration testing services reveal weaknesses in your laptop system, networks, and functions. After hacking your system, a white hat hacker will generate a high-level administration report detailing the vulnerabilities and problematic entry factors. The report may even include measures which you could take to maintain what you are promoting information safe and reduce safety dangers. 

The outcomes of a penetration check might differ in response to your white-hat hacker’s talent, energetic or inactive firewalls, the period of the check, and system adjustments throughout the check. To make sure that you get a complete report, work with a seasoned white-hat hacker who can carry out a number of assessments to seek out all of the weaknesses in your techniques. 

Penetration Testing Providers Present an In-Depth Technical Overview Doc 

Penetration testing providers present an in-depth technical evaluate doc that features a complete record of the findings, in addition to the technical particulars of vulnerabilities. By going by the technical evaluate doc, you may uncover points that pose essentially the most hazard to your techniques and community. Thereafter, you can begin implementing measures that work to guard what you are promoting information, together with {hardware} upgrades, software program upgrades, or configuration adjustments.

Actionable Insights Prioritized by Impression

Penetration testing providers generate actionable insights. For starters, penetration testing reveals weaknesses in your techniques and networks and consists of strategies for {hardware} and software program upgrades to guard what you are promoting information. 

Secondly, penetration testing reveals hackers’ strategies. One of many predominant objectives of white hat hackers is to launch actual assaults in your techniques and networks utilizing black-hat strategies. After discovering weaknesses, white-hat hackers exploit these weaknesses that will help you determine areas of your techniques and networks that have to be improved. 

Thirdly, penetration testing assessments what you are promoting’s response to actual cyber threats. When you know the way what you are promoting responds to cyber threats, you may put together instruments and techniques to stop and mitigate assaults and preserve what you are promoting information safe.   

Help To Repair What Wants To Be Mounted in a Well timed Method

Penetration testing providers enable you to determine and repair the system and community points in a well timed method. If, for instance, findings from the penetration check present that there are issues in your networks, you may repair these issues shortly by strengthening what you are promoting’s safety posture both by closing unused ports or eliminating all safety loopholes. This fashion, you remove the issues earlier than black hat hackers can exploit them.

Attempt Out Penetration Testing Providers

Penetration testing will help you assess what you are promoting’s well being. A penetration check will present you ways profitable or unsuccessful a cyber assault on what you are promoting might be and recommend methods by which you’ll be able to protect delicate enterprise information and develop efficient safety measures. Conduct a penetration check in the present day to make sure what you are promoting information is protected against intruders.








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