#Facial recognition software

[victusinveritas]

Dazzle camouflage but for people.

Of course, a good surveillance state would put out this sort of rumor along with pictures and have it all be complete and utter bullshit and then be able to ID and arrest a bunch of suckers, so...keep that in mind, I guess.

[sw5w]

Someone to See Ya, Honey

STAR WARS EPISODE II: Attack of the Clones 00:31:40 - 00:31:42

Here's a diagram I made of Dex's Diner. It's not to scale, but I think this shows all the characters who appear and where they're seated (except FLO and Hermione Bagwa because they're all over the place).

#5 Seboca and human patron #20 leave while Obi-Wan and Dex are talking, and #24 Bogg Tyrell only enters for a drink and staggers back out.

Here are Kajain'sa'Nikto #1 and #2 sitting against the back wall beside the door. Maybe this door leads to the refresher because they are missing in a few shots. Nature might have been calling!

In front of them, you can see human patron #3. She has a hairstyle similar to Wilst Molan from the Outlander, who is glimpsed briefly at the Outlander Club, but it looks like a different actress.

Here is human patron #3 and the unnamed Pacithhip #4, with the two Niktos behind them missing. They return a minute later.

The Pacithhip might be drinking Jawa Juice like Obi-Wan as he's got the same style of cup!

The next table has 3 named patrons: Seboca the Dug holovid star, another Dug named Rednax, and the Nuknog private investigator Slyther Bushforb. (Love that name lol)

They're most easily seen when Obi-Wan first enters the diner.

Seated at the next table are two Rodians, Honka and Sidewa, along with a human companion wearing a helmet (patron #10). You see them several times during Obi-Wan's chat with Dex.

We all know who's sitting at the next table: Obi-Wan and his old pal, Dexter Jettster!

The next patron, on the other side of the entrance, *might* be Lowle Ch'red. She's wearing similar clothing as an extra who didn't appear in the movie (as far as I've found) who was identified as Lowle Ch'red, but they're played by two very different actresses.

Personally, and for obvious reasons, I think they should be separate characters. The black actress doesn't wear a headdress or metal armbands and has a tattoo on her chest, while the white actress doesn't. They just have similar fashion sense!

The next two patrons (#14 and #15) we never get a good look at. #14 might just be a human wearing a tall collar (much like patron #21 at the counter), but we just don't know as their back is always turned. #15 is an older human with white hair.

The table along the far wall is interesting. There's a human patron (#16) but their companion (#17) is tricky. It looks like a Weequay mask possibly, but without hair or maybe with white hair? Or it could be a different kind of mask, but the wrinkles kinda look Weequay to me.

Beside them, we have a single human patron looking wistfully out the window by himself. There might be another booth there, but I think it's more likely a set of stools like the Niktos are sitting at on the opposite end of the diner.

Speaking of the other end of the diner, let's head back to the back and check out who's sitting at the counter. Patron #19 is a bald human seen briefly at the beginning of the scene, blurry as the camera moves, and again later when we get a wider shot of the diner.

Next to #19, we have the diner patron played by Sara Elizabeth Joyce. In this interview with Amy Richau, Sara explains that George told her that she was a bounty hunter and doesn't like Jedi, hence why she exits the scene shortly after spotting Obi-Wan.

Also in that interview is this behind the scenes photo, which also shows a better look at diner patron #19.

Next we have another diner patron wearing a big hood, like patron #14, again with their back turned to us so we don't know if it's a human or a different species. It looks like they might have a large blaster hanging on their side too.

Two spots down we have another human patron, #22, who gets a close up shot when Obi-Wan enters the diner. He's got a pretty interesting looking collar on his suit - and it looks like he's carrying a blaster on his belt too!

The last sitting patron is this human patron, #23, at the end of the bar, close to the kitchen. In another shot, we see that he's chowing down on one of Dex's famous sliders!

And finally, the last patron, #24, who enters and abruptly leaves is Senator Bogg Tyrell, who we saw earlier during the speeder chase with her significant other, Seboca (who's sitting nearby). She grabs a drink and then walks back out, followed shortly by Seboca.

[infosecnexus]

Innefu Lab: Leading AI Solutions for Cybersecurity and Fraud Prevention

Innefu Lab is revolutionizing the world of cybersecurity and predictive intelligence with its advanced AI-driven technologies. As a 100% "Make-In-India" venture, Innefu Lab provides cutting-edge solutions in Information Security and Data Analytics to safeguard businesses and government organizations across India and the Middle East. Trusted by over 100 clients, Innefu Lab is at the forefront of AI and machine learning-based analytics, offering powerful technology that delivers smarter and safer environments.

What is Innefu Lab?

Innefu Lab is an AI-driven research and development company specializing in next-generation cybersecurity solutions. With a focus on data protection, fraud prevention, and machine learning, Innefu Lab is helping organizations stay ahead of evolving cyber threats. Their solutions, which include biometric and facial recognition software, are used across sectors like banking, law enforcement, and surveillance.

AI in Image and Video Analytics: Enhancing Security and Fraud Prevention

Innefu Lab’s AI-Vision technology is leading the charge in image and video analytics. AI-powered facial recognition and video analysis have become essential tools for fraud prevention, criminal identification, and security. Innefu Lab’s solutions analyze images and videos in real-time, providing quick and accurate results.

How AI Facial Recognition Works

Innefu Lab’s facial recognition technology converts images into greyscale to enhance face detection. The algorithm extracts unique facial features like jawline shape, eye spacing, and facial proportions, then matches them with a database to verify identities. This technology is widely used in preventing identity theft, fraud detection, and law enforcement.

AI Video Analytics

Video analytics breaks down video footage into individual frames, analyzing them as independent images. This technology is crucial for applications like traffic management, event security, and real-time surveillance, enabling better monitoring and faster response times.

Real-World Applications of Innefu Lab’s AI Technology

Innefu Lab’s AI-Vision software is already making a tangible impact in various sectors, from banking to law enforcement. The technology is specifically designed to combat identity theft, detect fraud, and aid in criminal investigations.

AI for Banking Fraud Prevention

One of the most prevalent forms of fraud is identity theft. Fraudsters often use fake IDs to access banking services. Innefu Lab’s facial recognition software helps banks detect such fraudulent activities by comparing images with existing databases to identify potential fraudsters. Leading private banks in India use Innefu Lab’s technology to strengthen KYC (Know Your Customer) processes and ensure secure transactions.

AI in Law Enforcement

In law enforcement, Innefu Lab’s software plays a crucial role in solving crimes and identifying criminals. In one case, AI-Vision helped locate over 3,000 missing children in just four days, earning praise from the National Commission for Protection of Child Rights. In 2020, Delhi Police used the software to identify rioters during the North East Delhi riots, which was later mentioned in the Home Minister’s Parliamentary speech.

Other Applications

Banking: AI-Vision enhances ATM security by verifying identities and preventing card skimming or unauthorized transactions.

Airports: AI-Vision streamlines the passenger boarding process, reducing the need for manual identity verification and enhancing security.

Retail: Retailers are integrating facial recognition into self-service kiosks for a more personalized customer experience, minimizing human intervention.

Event Security: AI-Vision helps improve event security by verifying guest identities in real-time, ensuring smoother and safer entry to events.

Benefits of Innefu Lab's AI Solutions

Faster Fraud Detection: Innefu Lab’s AI-powered systems identify fraudulent activities quickly, preventing potential financial losses.

Real-Time Criminal Identification: AI technology allows law enforcement to identify criminals in real-time, improving response times and public safety.

Improved Customer Experience: With AI-Vision, businesses can offer personalized services to customers while reducing human errors.

Enhanced Security: AI-driven facial recognition ensures a higher level of security in banking, airports, retail, and more.

The Future of AI in Cybersecurity and Predictive Intelligence

As cyber threats become more sophisticated, Innefu Lab is committed to staying ahead of the curve. The company’s AI-powered solutions are not only reactive but also proactive in preventing cybercrime and security breaches. By integrating machine learning, predictive analytics, and real-time identity verification, Innefu Lab is setting new standards in cybersecurity, ensuring a safer and smarter future.

In a world where digital transformation is rapidly advancing, Innefu Lab is paving the way for smarter, safer technology. The company’s innovations in AI and cybersecurity are redefining what it means to protect sensitive data, combat fraud, and safeguard public safety.

Why Choose Innefu Lab?

Innefu Lab’s AI technology is trusted by top organizations across India and the Middle East for its efficiency, accuracy, and reliability. With solutions tailored for various industries, Innefu Lab is revolutionizing the way businesses approach cybersecurity, fraud prevention, and predictive intelligence.

In a fast-evolving digital landscape, Innefu Lab’s commitment to innovation and real-world impact ensures that their clients stay ahead of potential risks, securing their future in an increasingly connected world.

[thirdeye-ai]

The Expansive Applications and Benefits of Facial Recognition Technology

Facial recognition technology is revolutionizing the way organizations enhance security and optimize operational efficiency across various industries. This innovative biometric solution analyzes facial features to verify identities, offering a range of applications that not only bolster security but also streamline numerous processes. In this article, we will explore the various areas where facial recognition can be utilized, the substantial benefits it brings to organizations, and the challenges they might face without these advanced technologies.

Applications of Facial Recognition Technology

1. Gate Security Management

Facial recognition systems are increasingly deployed at entry and exit points in facilities such as corporate offices, manufacturing plants, and high-security zones. These systems allow organizations to manage who enters and exits by verifying identities in real-time. Advanced algorithms assess the facial features of individuals against a database of authorized personnel, granting access only to those who are recognized.

Benefits

Enhanced Security: By ensuring that only individuals with proper clearance can enter sensitive areas, organizations can drastically reduce the risk of unauthorized access and potential security threats.

Quick Identification Process: Real-time facial recognition expedites the identification of individuals, minimizing wait times at access points. This leads to smoother traffic flow and improves overall security efficiency.

Detailed Audit Trails: Most systems maintain logs of access events, allowing security personnel to track who accessed specific areas and when. This feature is invaluable for investigations following security incidents, helping organizations respond promptly to any breaches.

2. Time and Attendance Management

Facial recognition technology is transforming how organizations track employee attendance. By integrating facial recognition systems into timekeeping processes, companies can automate the clock-in and clock-out procedures. Employees simply look at a camera that recognizes their face, recording their attendance without the need for traditional timecards or manual entries.

Benefits

Reduction in Time Theft: By eliminating the potential for buddy punching — where one employee clocks in for another — organizations can significantly reduce labor costs and ensure accurate attendance records.

Data-Driven Insights for Productivity: The automated system collects detailed attendance data, enabling organizations to analyze employee attendance patterns, identify trends, and make informed decisions regarding workforce management.

User-Friendly Experience: The simplicity of facial recognition provides employees with a hassle-free check-in process. Instead of dealing with physical timecards or logging into systems, they can simply glance at the camera, enhancing convenience and job satisfaction.

3. Visitor Management

In many organizations, visitor management is crucial for maintaining security and ensuring a positive experience for guests. Facial recognition technology can streamline the visitor check-in process. Visitors can register using a facial recognition system, which verifies their identity against a pre-approved list before granting access.

Benefits

Increased Security Measures: By quickly identifying visitors and checking them against a database, organizations can prevent unauthorized individuals from entering their premises, enhancing overall safety.

Streamlined and Efficient Check-In Process: Guests no longer need to fill out lengthy paper forms or wait in long lines. The system can verify identities in seconds, significantly improving the visitor experience and reducing bottlenecks.

Comprehensive Visitor Data Collection: The technology can log visitor details, including entry and exit times, which can be used for security analysis and to enhance visitor experience in future engagements.

4. Payroll Management

Facial recognition can also play a pivotal role in streamlining payroll processes. By linking attendance records captured via facial recognition to payroll systems, organizations can automate the entire payroll cycle — from clocking in to processing payments.

Benefits

Efficiency in Payroll Processing: Automating the payroll system reduces the administrative burden on HR departments, allowing them to focus on more strategic tasks rather than manual data entry.

Accuracy in Compensation Calculations: By relying on verified attendance data, organizations can ensure that employees are compensated accurately for the hours they worked, minimizing disputes and errors in pay.

Reduction of Paperwork: Digitizing attendance and payroll processes helps organizations cut down on paper usage, contributing to more environmentally friendly practices while streamlining operations.

5. Field Force Management

For companies with field workers, managing attendance and performance can be challenging. Facial recognition technology provides a robust solution to monitor and verify the identities of field personnel in real-time. This allows organizations to keep track of who is on-site at any given moment.

Benefits

Real-Time Monitoring of Operations: Managers can receive immediate updates on field personnel attendance, allowing them to ensure that projects stay on schedule and that resources are allocated efficiently. Enhanced Accountability Among Workers: The knowledge that their attendance is being monitored encourages field workers to adhere to company policies and report to work as scheduled.

Streamlined Communication with Management: The system can provide instant feedback on attendance and performance metrics, enabling quicker decision-making and better resource management.

6. Canteen Management

Facial recognition technology can greatly enhance operations in employee canteens by automating meal purchases and tracking food balances. Employees can simply look at a camera to pay for their meals without the need for cash or cards.

Benefits

Precise Transaction Records: Automated systems accurately record each employee’s meal purchases, allowing for better inventory management and waste reduction.

Faster Payment Processing: With quick identification, employees can pay for their meals in seconds, significantly improving the dining experience during busy meal times.

Greater Employee Satisfaction: By streamlining the canteen process, organizations can enhance employee satisfaction and promote a positive workplace culture.

7. Employee Self-Service

Facial recognition technology can empower employees by enabling them to manage their attendance and schedules from mobile devices. With a simple facial scan, employees can check in and out, request leave, or update their availability.

Benefits

Increased Flexibility for Employees: This feature allows employees to manage their attendance without needing to physically report to HR, offering them greater flexibility and control over their schedules. Improved Accuracy in Reporting: With biometric verification, the chances of attendance reporting errors are significantly reduced, leading to more accurate workforce management.

Enhanced Employee Empowerment: By providing employees with the tools to manage their own attendance, organizations foster a sense of ownership and responsibility among their workforce.

8. Healthcare Applications

In healthcare environments, facial recognition technology can be used to verify patient identities and streamline the admissions process. Patients can simply check in using facial recognition, which confirms their identity and retrieves their medical records.

Benefits

Enhanced Patient Safety and Security: By ensuring that patients are accurately identified, healthcare providers can minimize the risk of medical errors and mix-ups.

Quicker Admissions Process: The streamlined check-in reduces waiting times for patients, allowing healthcare professionals to focus more on providing care rather than administrative tasks.

Improved Data Privacy: Biometric systems enhance patient data security, ensuring that only authorized personnel can access sensitive medical information.

9. Retail and Customer Experience

In the retail sector, facial recognition technology can be harnessed to analyze customer behavior and preferences, enabling personalized shopping experiences. Retailers can use this data to tailor marketing strategies and enhance customer engagement.

Benefits

Targeted Marketing Initiatives: By recognizing returning customers, retailers can offer personalized promotions and recommendations, improving customer loyalty and satisfaction.

Enhanced Security Against Theft: Facial recognition systems can identify known shoplifters, allowing retailers to take preventative measures to protect their inventory.

Operational Insights for Better Management: Analyzing customer traffic patterns helps retailers optimize store layouts and staff deployment for improved customer service.

Challenges Without Facial Recognition Technology

Despite the numerous benefits of facial recognition technology, organizations that do not adopt this innovative solution may face several challenges, including:

1. Increased Security Risks

Unauthorized Access: Without effective access control measures, organizations may experience higher rates of unauthorized entry, leading to potential security breaches.

Vulnerability to Threats: Traditional security measures, such as ID badges, can be easily compromised, putting organizations at risk.

2. Inefficiencies in Operations

Manual Processes: Organizations may rely on outdated manual systems for attendance tracking and visitor management, leading to increased labor costs and potential errors.

Long Wait Times: Inefficient visitor check-in processes can frustrate guests and lead to negative experiences.

3. Data Inaccuracies

Human Error: Manual record-keeping is prone to mistakes, which can affect payroll calculations and employee records.

Limited Insights: Organizations may miss valuable data that could be used to analyze trends and improve operational efficiency.

4. High Administrative Overhead

Labor-Intensive Tasks: Without automation, HR and security personnel may spend excessive time managing attendance, payroll, and visitor logs, diverting focus from strategic initiatives.

Increased Paperwork: Relying on paper-based systems can lead to clutter and difficulties in managing records.

5. Poor Customer Experience

Frustrated Visitors: Inefficient check-in processes can lead to long wait times, negatively impacting the visitor experience.

Missed Opportunities: Retailers may struggle to personalize customer experiences without data-driven insights from facial recognition technology.

Conclusion

Facial recognition technology offers vast applications across multiple sectors, significantly enhancing security, streamlining operations, and improving overall efficiency. While organizations face challenges without these technologies, embracing facial recognition can provide them with a competitive edge in today’s fast-paced environment.

As businesses increasingly adopt this innovative technology, they can expect improved efficiency, enhanced security measures, and a better experience for employees and customers alike. The future is bright for those willing to leverage facial recognition technology to navigate the complexities of modern operations.

[tektronixtechnology]

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[mofftarkinandglossurabbansquares]

MOFF TARKIN AND GLOSSU RABBAN SQUARES

🟨🟦🟥🟥◼️🟥🟦🟦🟥🟥

◼️🟦🟥🟦◼️◼️🟦🟦◼️◼️

SQUARE MILITARY RANK INSIGNIA MILITARY SALESMEN FROM OUTSIDE THIS CLUSTER OF GALAXIES

NO I DON'T WANT TO BUY ANY MORE STORMTROOPER ARMOR. I HAVE ENOUGH, THANK YOU.

[chalkrevelations]

I really need all y'all to get your vaccines, put on your masks, wash your hands, and stop touching your faces.

Between Covid, flu, and norovirus, I am so done at work. And if the Trump administration is going to bury health info, I'll tell you from the trenches bedside in acute care.

VACCINES. SOAP AND WATER. MASKS.

N95 for pref - this is better protection from the flu. Although any masking would be better than none.

[paranormeow7]

friendly reminder that if you’re scared of mass surveillance you can always become a juggalo

[thirdeye-ai]

[glambots]

Oh! Fun (not really) HC I've been thinking about for a little bit: the main reason the animatronics attack people when in virus mode isn't just because they're being partially controlled by Vanny/Afton's influence, but because they physically cannot recognize anyone or anything around them.

Their eyesight is (literally) AI-generated.

A bit more of an in-depth explanation below the cut:

So, how I see it, the animatronics don't have actual eyesight (obviously). What they do have is an approximate map of where everything is in the Pizzaplex programmed into their eyes to simulate what it's like walking around the space. Like a virtual housing tour meets Google Maps, only much smoother and more accurate. (The V.A.N.N.Y. layout is also programmed in, and is how Roxanne can see through walls/how the animatronics can still react to things seen "out of barriers").

When the virus kicks in, everything sort of becomes...fuzzy and unrecognizable. Like this image:

There's a part of them that knows they should be able to recognize the places around them, but for some reason, they just can't.

And it's the same for faces. Their facial recognition software cannot identify whoever they're looking at because the person's facial structure is always constantly morphing and shifting (7:15 in the video below for a good example of what I mean):

Pre-DLC, this could be why previous human employees are being killed/harmed, because at some point or another the virus wipes the robot's ability to recognize who is approaching them, and their system deems them a threat. (I imagine it's particularly bad for Monty.) It also explains why none of them seem to notice or care about Vanny's presence in the 'Plex, because the virus is messing with their ability to see what is and isn't beyond the "barriers" in their system-generated eyesight. (Why can Gregory see her? I have no idea! Don't think about it too hard.)

Post-DLC, it kind of explains why Sun thinks Cassie is a mechanic at first, because his system can only recognize the V.A.N.N.Y. mask, but once she takes it off, Eclipse is only vaguely aware that she is a child who is somewhere she shouldn't be, without being able to seemingly recognize what a horrible state they or the Daycare is actually in (He just needs to clean up, right? And then the kids will be back soon!). It could also be why Roxanne mistook Cassie as Gregory at first.

It's why the animatronics have trouble recognizing their surroundings, getting around the Pizzaplex, or even realizing what sort of state it/they are currently in. They're just stuck in an endless void of constantly shifting colors, moving shapes, and distorted faces.

[tektronixtechnology]

[lesbianwyllravengard]

Every occupation requires more unnecessarily high qualifications than ever before. You can't even be a vigilante without acting classes, years of documented training in hand-to-hand combat or sword fighting (because it's no longer taught to you by a parent or old mentor), certification in computer science, no internet history or presence whatsoever, and a PhD

[aleazul]

I know I've been mostly silent about the whole getting stalked and harassed thing but it is a little insane to me that this person is claiming to go way back with me and claim to have photo proof of being a completely different person only for said other person to be someone I have never met in my fucking life

[iwatcheditbegin]

Another stalker showing up to the show is why I support lead booker events and non- transferable tix unless it’s sold back to tix distributors. When stuff is sold third party there’s no way for event organizers to know who’s got tix and attending.

[bravevolunteer-a]

breaking my silence. i really do not like the idea of the sister location warehouse being underneath the afton house