Marketing Scoops: recognition

Showing posts with label recognition. Show all posts

Monday, July 21, 2025

How To Repurpose Videos Into Short Videos Using AI Through BiteSyzed Platform

Short videos, typically ranging from a few seconds to a few minutes, have swept social media and digital platforms. Their appeal lies in delivering quick, easily digestible content that captures viewers’ attention in a world where time is a precious commodity. Choosing BiteSyzed is the best solution to overcome the hurdles of short video creation. You can simplify the process of crafting engaging short videos. BiteSyzed offers features to streamline short video production, boost audience engagement, and enhance online presence.

BiteSyzedis a groundbreaking content transformation tool that effortlessly converts a single 60-minute video into a whopping 100 viral short clips, utilizing artificial intelligence’s incredible speed. BiteSyzed empowers you to release engaging, bite-sized clips primed for viral success within minutes if you have a lengthy webinar or recorded talk. With BiteSyzed, you can dominate platforms like Instagram Reel, TikTok, YouTube Shorts, and more. Expect thousands of views and a skyrocketing sales graph. It harnesses groundbreaking AI context Technology to understand the essence of your long video – the ideas, nuances, and purpose.

Then, like magic, it crafts hundreds of short video clips optimized for social media in formats like 9:16, 16:9, 1:1, and 3:4. All you have to do is upload your video, and the A.I. goes to work. It identifies the best moments and assembles them into bite-sized clips packed with impact. These clips are ready to captivate your audience, turning them into website visitors, leads, and sales. Utilizing the capabilities of AI, BiteSyzed empowers users to transform webinars, podcasts, YouTube videos, and other content into a collection of briefs, contextually enriched video clips.

These clips are strategically crafted for maximum virality, guaranteeing heightened visibility and recognition for your content. Transform lengthy videos into hundreds of concise video shorts tailor-made for platforms such as TikTok, Instagram Reels, YouTube Shorts, and other social media sites. Leverage the power of AI to effortlessly generate months’ worth of content in just minutes. With BiteSyzed, you’re not just producing videos; you’re shaping a compelling narrative that deeply connects with your audience, fostering engagement, and driving conversions. Embark on your journey with BiteSyzed through these simple three steps:

Upload Your Source Video: Begin by uploading your source video, whether it’s a webinar, podcast, tutorial, or any content you want to repurpose. BiteSyzed’s AI thoroughly analyzes the content, ensuring optimal segments are selected for repurposing.

Customize Your Clips: Tailor your clips to suit your preferences. Specify the number of clips you desire, and let BiteSyzed’s AI work its magic. It automatically generates captions, incorporates engaging visuals, and renders the content in various sizes for compatibility across all social platforms.

Review and Publish: Once BiteSyzed transforms your video, take a moment to review each clip, make any final adjustments, and then seamlessly publish on platforms such as TikTok, Instagram, YouTube, and more. Utilize AI-generated titles, captions, and hashtags, or download the clips for use on other platforms. Immerse yourself in the future of video content creation with BiteSyzed, ensuring your content always stands out from the crowd.

Make the most of advanced machine learning that automatically identifies and extracts the most engaging parts from your videos. Your audience gets the best every time. Effortless AI-Powered Short Form Clip Creation — No Technical Expertise Required, Transform Podcasts, Webinars, Zoom Call Recordings, YouTube Videos & More into Compact, social media-Ready Clips, Unlock Immediate Earning Potential with the VIP Commercial License Make Thousands Per Month! The AI evaluates each clip using multiple data points to predict its potential to go viral. Focus on content with a higher chance of trending.

BiteSyzed‘s Active Speaker Detection focuses on the main speaker, enhancing viewer engagement and dynamism in your content. It identifies and emphasizes crucial keywords in your clips, making them stand out and ensuring your message is clear. Turn your videos into bite-sized clips in a snap! Instantly create multiple short clips from a single video, expanding your content reach without manual effort. Add your personal touch. Seamlessly integrate your brand’s logo, colors, and identity into each clip for consistent recognition.

Perfect for viewing on any device, BiteSyzed ensures your clips play flawlessly whether your audience is on a desktop, tablet, or mobile. Fine-tune to perfection. Dive into the comprehensive editing suite to refine and perfect each clip to align with your vision.Publish your bite-sized clips directly to platforms like TikTok, Instagram, and Twitter, expanding your digital footprint effortlessly. Gain detailed insights into clip performance and viewer engagement to tailor your future content for maximum effect.

Collaborate seamlessly with collaborators, share drafts, and work together in a unified workspace for smooth content creation. Access anytime, anywhere. Integrate with popular cloud storage solutions to ensure your content is always within reach. Engage from the start. Offer interactive previews to entice viewers to watch the clip and increase engagement rates. BiteSyzed supports any video format. Whether it’s MP4, AVI, or MOV, it smoothly processes and converts it for compatibility and quality.

Rank higher, shine brighter. Utilize built-in SEO tools to optimize your clips for search engines, increasing their visibility. Strive for perfection. Make unlimited revisions to your clips until they align perfectly with your vision. Add authenticity. Include personalized watermarks in your clips to reinforce brand identity and protection. Receive real-time notifications about clip statuses, feedback, and more to stay on top. Stay organized. Catalog your clips by themes, campaigns, or dates for easy retrieval and management….

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Source: https://www.bitesyzed.io/

Tuesday, April 15, 2025

Goodbye Boarding Pass Hello Facial Recognition

photka/Adobe Stock, riakhinantonUkraine/Adobe Stock

The last big breakthrough in aviation when it comes to boarding your flight came in the early 2000s, with the arrival of eTicketing. But a new proposed overhaul of how you get on planes could shake things up in a much larger way. The International Civil Aviation Organization (ICAO), a United Nations agency that oversees international airline policy, has revealed plans for a digital travel credential……Continue reading….

By: Chris Morris

Source: Fast Company

Critics:

A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image.

Development began on similar systems in the 1960s, beginning as a form of computer application. Since their inception, facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics. Because computerized facial recognition involves the measurement of a human’s physiological characteristics, facial recognition systems are categorized as biometrics.

Although the accuracy of facial recognition systems as a biometric technology is lower than iris recognition, fingerprint image acquisition, palm recognition or voice recognition, it is widely adopted due to its contactless process. Facial recognition systems have been deployed in advanced human–computer interaction, video surveillance, law enforcement, passenger screening, decisions on employment and housing and automatic indexing of images.

Facial recognition systems are employed throughout the world today by governments and private companies. Their effectiveness varies, and some systems have previously been scrapped because of their ineffectiveness. The use of facial recognition systems has also raised controversy, with claims that the systems violate citizens’ privacy, commonly make incorrect identifications, encourage gender norms and racial profiling, and do not protect important biometric data.

The appearance of synthetic media such as deepfakes has also raised concerns about its security. These claims have led to the ban of facial recognition systems in several cities in the United States. Growing societal concerns led social networking company Meta Platforms to shut down its Facebook facial recognition system in 2021, deleting the face scan data of more than one billion users. The change represented one of the largest shifts in facial recognition usage in the technology’s history.

IBM also stopped offering facial recognition technology due to similar concerns.The emerging use of facial recognition is in the use of ID verification services. Many companies and others are working in the market now to provide these services to banks, ICOs, and other e-businesses. Face recognition has been leveraged as a form of biometric authentication for various computing platforms and devices; Android 4.0 “Ice Cream Sandwich” added facial recognition using a smartphone’s front camera as a means of unlocking devices.

While Microsoft introduced face recognition login to its Xbox 360 video game console through its Kinect accessory, as well as Windows 10 via its “Windows Hello” platform (which requires an infrared-illuminated camera). In 2017, Apple’s iPhone X smartphone introduced facial recognition to the product line with its “Face ID” platform, which uses an infrared illumination system. Face recognition is less effective if facial expressions vary. A big smile can render the system less effective.

For instance: Canada, in 2009, allowed only neutral facial expressions in passport photos. There is also inconstancy in the datasets used by researchers. Researchers may use anywhere from several subjects to scores of subjects and a few hundred images to thousands of images. Data sets may be diverse and inclusive or mainly contain images of white males. It is important for researchers to make available the datasets they used to each other, or have at least a standard or representative dataset.

Although high degrees of accuracy have been claimed for some facial recognition systems, these outcomes are not universal. The consistently worst accuracy rate is for those who are 18 to 30 years old, Black and female.^[5Civil rights organizations and privacy campaigners such as the Electronic Frontier Foundation, Big Brother Watch and the ACLU express concern that privacy is being compromised by the use of surveillance technologies.

Face recognition can be used not just to identify an individual, but also to unearth other personal data associated with an individual – such as other photos featuring the individual, blog posts, social media profiles, Internet behavior, and travel patterns. Concerns have been raised over who would have access to the knowledge of one’s whereabouts and people with them at any given time. Moreover, individuals have limited ability to avoid or thwart face recognition tracking unless they hide their faces.

This fundamentally changes the dynamic of day-to-day privacy by enabling any marketer, government agency, or random stranger to secretly collect the identities and associated personal information of any individual captured by the face recognition system. Consumers may not understand or be aware of what their data is being used for, which denies them the ability to consent to how their personal information gets shared.

In 2016, facial feature emotion recognition algorithms were among the new technologies, alongside high-definition CCTV, high resolution 3D face recognition and iris recognition, that found their way out of university research labs. In 2016, Facebook acquired FacioMetrics, a facial feature emotion recognition corporate spin-off by Carnegie Mellon University. In the same year Apple Inc. acquired the facial feature emotion recognition start-up Emotient.

By the end of 2016, commercial vendors of facial recognition systems offered to integrate and deploy emotion recognition algorithms for facial features. The MIT’s Media Lab spin-off Affectiva by late 2019 offered a facial expression emotion detection product that can recognize emotions in humans while driving.

Face Recognition based Smart Attendance System Using IoT”

Racial Discrimination in Face Recognition Technology”.

Facial Recognition Technology: Federal Law Enforcement Agencies Should Have Better Awareness of Systems Used By Employees”.

Facing gender bias in facial recognition technology”.

Sexism in Facial Recognition Technology”.

Understanding bias in facial recognition technologies

Study warns deepfakes can fool facial recognition”.

IBM bows out of facial recognition market -“.

Facebook, Citing Societal Concerns, Plans to Shut Down Facial Recognition System”.

IBM will no longer offer, develop, or research facial recognition technology”.

The Quest for Artificial Intelligence.

Mugspot Can Find A Face In The Crowd – Face-Recognition Software Prepares To Go To Work In The Streets”.