#intelligent video analytics
Explore tagged Tumblr posts
Text
VIZO361°: Revolutionizing Surveillance with AI-Powered Video Analytics

VIZO361° delivers cutting-edge AI video analytics to enhance security, operational efficiency, and workforce monitoring in real time. Our intelligent platform detects and mitigates risks such as cashier thefts, unauthorized phone usage, shoplifting, and suspicious object identification—ensuring proactive threat prevention. By analyzing live video feeds with advanced AI, we help retailers, manufacturers, and enterprises reduce losses, optimize employee productivity, and maintain compliance. From identifying unusual behavior to automating security alerts, VIZO361° transforms surveillance into actionable insights, driving smarter decisions and safer workplaces. Experience next-gen monitoring with AI that sees, analyzes, and acts—keeping your business secure and efficient.
#VIZO361#AI video analytics#ai companies in india#top ai companies in india#intelligent video analytics#computer vision services and Solutions#business surveillance system
1 note
·
View note
Text
Intelligent video analytics optimizes traffic management by analyzing video feeds from roadside cameras. It provides real-time insights into traffic flow, congestion, and incidents, enabling authorities to make informed decisions and implement effective strategies to alleviate congestion.
0 notes
Text
Discover Intozi's Game-Changing Video Analytics Solutions
Intozi is a pioneering leader in computer vision and video analytics with a proven track record of successful deployments of its best in class video analytic platform Ikshana across various sectors. Its vision is to build and deploy video analytics technology-based solution for real time scenarios and to make these advanced technologies accessible and affordable. It was founded in 2019, has 100+ Analytics and long term customers. Its mission is to build a robust organization that deploys state–of–the–art video analytics technology to address diverse business challenges, making intelligent surveillance accessible and efficient.
The management sectors are immensely professional and friendly to deal with.
If you want to know more about their technology and willing to work as their client, check out the link https://intozi.io/
#technology#analytics#computervision#video#realtime#scenario#stateofart#intelligent#surveillance#efficient#friendly
0 notes
Text

Gyrus AI Solutions- Intelligent Media Search
Find the Right Moment in Seconds
Gyrus AI is an advanced AI video search engine designed for next-generation Media Asset Management (MAM). Powered by cutting-edge machine learning and semantic video search capabilities, it transforms the way you discover, organize, and retrieve content.
From video, audio, to images, Gyrus enables contextual media search that goes far beyond traditional metadata—so you spend less time searching and more time creating, analyzing, or delivering results.
Why Gyrus?
🔍 Intelligent Media Search Search by scenes, speakers, objects, emotions, or themes—not just keywords. 🧠 AI-Driven Tagging & Video Content Indexing Automatically tag, categorize, and enrich your media with deep context. ⚡ Lightning-Fast Retrieval Instant access to large video archives and datasets. 🔗 Seamless Integration Works with your current MAM, DAM, or cloud platform. 🔒 Scalable & Secure Enterprise-grade solution built to scale with your needs.
Use Cases
🎬 Broadcast & Media Companies An AI tool for media companies to locate clips for editing, archiving, or reuse. 📈 Marketing & Creative Teams Quick access to brand-compliant visuals via AI media discovery. 🎓 Education & Research Surface key segments from lengthy lectures or interviews using semantic search. ✅ Corporate Training & Compliance Easily audit, review, and manage recorded content.
Boost Your Media Discovery Strategy
With Gyrus, you’re not just managing media—you’re unlocking it.
Contextual video search
Knowledge graph media search
Content discovery AI tools
Built for rich video content indexing
See Gyrus in Action
Discover how our AI-powered media search platform can transform your workflow.
👉 Book a Demo
#gyrus ai#gyrus#ai in mam#intelligent media search#media asset management#media search#media discovery#AI Media Search#advanced media search#video content indexing#semantic video search#ai vision analytics#video production companies#advanced ai and ml technologies
0 notes
Text
0 notes
Text
AI Automation Solutions for Smarter Business Growth
Explore Hitech Analytics AI automation services designed to enhance business efficiency and precision. Our AI-driven data insights analyze historical data and performance metrics to empower strategic decision-making.
Explore more: https://www.hitechanalytics.com/

#business efficiency#video analytics#image analytics#text analytics#AI-driven data insights#artificial intelligence
1 note
·
View note
Text
Enhancing Retail Success with Conversational AI Consulting and Footfall Analytics
In the competitive landscape of retail, understanding customer behavior is crucial to staying ahead. Retailers are increasingly turning to advanced technologies like Conversational AI and Footfall Analytics to gain deep insights into their customers' needs and preferences. When combined, these tools not only improve customer engagement but also optimize store operations and drive revenue growth.
The Power of Conversational AI in Retail
Conversational AI refers to the technology that enables machines to interact with humans through natural language, whether via text or voice. In the retail context, this can take the form of chatbots, virtual assistants, or voice-activated systems that provide real-time assistance to customers. From answering product queries to guiding users through the purchasing process, Conversational AI helps retailers deliver personalized, efficient, and consistent customer service.
Moreover, by leveraging machine learning, these systems can continuously improve their responses, leading to more accurate and relevant interactions over time. This not only enhances customer satisfaction but also frees up human staff to focus on more complex tasks that require a personal touch.
Understanding Footfall Analytics
Footfall Analytics involves the collection and analysis of data related to the number of people entering and moving through a physical space, such as a retail store. This data provides valuable insights into customer behavior, including peak shopping times, popular store sections, and the effectiveness of marketing displays.
By understanding these patterns, retailers can make informed decisions about staffing, store layout, inventory management, and promotional strategies. For instance, if Footfall Analytics reveals that certain areas of the store attract more customers, businesses can strategically place high-margin products in those areas to maximize sales.
The Synergy Between Conversational AI and Footfall Analytics
When Conversational AI is integrated with Footfall Analytics, the potential for retail optimization grows exponentially. Here’s how these technologies work together:
Personalized In-Store Experiences: Conversational AI can use Footfall Analytics data to offer personalized recommendations or promotions to customers based on where they are in the store. For example, if a customer frequently visits the electronics section, the AI could suggest the latest gadgets or offer discounts on similar products.
Enhanced Customer Insights: By analyzing conversations alongside footfall data, retailers can gain a more holistic view of customer preferences. This enables them to tailor their offerings and marketing strategies to better meet the needs of their target audience.
Optimized Store Operations: Footfall Analytics helps retailers understand traffic patterns, while Conversational AI can be used to manage customer flow during peak times. For instance, a chatbot could direct customers to less crowded areas of the store or provide information on wait times for assistance.
Data-Driven Decision Making: The integration of these technologies provides retailers with a wealth of data that can inform everything from product placement to staff scheduling. This data-driven approach leads to more efficient operations and better customer experiences.
The Role of Conversational AI Consulting
Implementing Conversational AI and Retail Footfall Analytics requires expertise in both technology and retail strategy. This is where Conversational AI consulting comes into play. Consultants help businesses identify the right AI tools, integrate them with existing systems, and develop strategies for leveraging data insights.
A good Artificial Intelligence and Data Analytics consultant will also ensure that the AI system is continually optimized, adapting to changing customer behaviors and preferences. This ongoing support is essential for maintaining a competitive edge in the fast-paced retail environment.
Conclusion
As retail continues to evolve, the combination of Conversational AI Consulting and Footfall Analytics offers a powerful toolset for businesses looking to enhance customer experiences and optimize operations. By partnering with a knowledgeable Conversational AI consultant, retailers can unlock the full potential of these technologies, driving growth and success in a dynamic marketplace.
#retail analytics companies#retail data analytics#AI-powered footfall#AI solution for retail industry#footfall analysis solutions#Retail footfall analysis#retail video analytics#ai in retail industry#artificial intelligence in retail#retail store analytics#store analytics#ai in retail#retail footfall analytics#Customer Analytics through AI#Crowdsense Retail Analytics Solution#Store Footfall Analytics#ai company#conversational ai#artificial intelligence chatbot#conversational ai companies#consulting firms#conversional ai consulting
0 notes
Text

Tap into the true potential of your data. Go beyond the website traffic and get in-depth user insights with Google Analytics services. Our Google Analytics service helps you optimize your site, and know your visitors, their activities, and ways to bring them back. To use such services, you know what to do connect with us today! Contact Us: 092570 37105 . . #googleanalytics #website #development #activeuser #analyticsgoal #performance #technicalterms #k2kit #k2k
#artificial intelligence#branding#ecommerce#machine learning#marketing#vegetarian#plantbased#veganfood#google analytics#video analytics#data analytics#business analytics
0 notes
Text
The Advantages of Using VivencyGlobal’s Surveillance Solutions
Vivency Global is a leading provider of surveillance solutions that help organizations protect their assets, people, and operations. With over a decade of experience in designing, implementing, and managing complex security systems, Vivency Global has a proven track record of delivering high-quality solutions that meet the diverse needs of its clients. In this blog post, we will explore some of the advantages of using VivencyGlobal’s surveillance solutions and how they can benefit your business.
Comprehensive coverage
VivencyGlobal’s surveillance solutions offer comprehensive coverage of your premises, both indoors and outdoors. They use advanced technologies such as high-definition cameras, thermal imaging, facial recognition, license plate recognition, and analytics to detect and deter potential threats, identify suspicious behavior, and provide actionable intelligence to your security team. Whether you need to monitor your office building, warehouse, parking lot, or retail store, Vivency Global can design a customized solution that fits your needs and budget.
Real-time monitoring
VivencyGlobal’s surveillance solutions enable real-time monitoring of your premises from any location, using any device with an internet connection. This means you can stay connected to your security system 24/7 and receive alerts and notifications in case of any security breaches, unauthorized access, or other abnormal activities. You can also review live and recorded footage, manage access control, and communicate with your security team or law enforcement agencies using the same platform.
Scalability and flexibility
VivencyGlobal’s surveillance solutions are scalable and flexible, meaning they can adapt to your changing security requirements as your business grows or evolves. Whether you need to add more cameras, upgrade your software, integrate with other systems, or migrate to a cloud-based platform, Vivency Global can provide you with a seamless and cost-effective solution that minimizes disruption and maximizes value.
Expertise and support
VivencyGlobal’s surveillance solutions are backed by a team of experienced security professionals who understand the latest trends, technologies, and regulations in the industry. They can provide you with expert advice, training, and support throughout the lifecycle of your security system, from design to deployment to maintenance. They can also help you optimize your system’s performance, reduce false alarms, and minimize downtime, ensuring that your security system operates at peak efficiency.
Compliance and privacy
VivencyGlobal’s surveillance solutions are designed to comply with the highest standards of privacy and data protection. They use encryption, authentication, and access control mechanisms to secure your data and prevent unauthorized access, disclosure, or modification. They also adhere to local and international regulations such as GDPR, HIPAA, PCI-DSS, and SOX, ensuring that your security system meets the legal and ethical requirements of your industry and jurisdiction.
In conclusion, VivencyGlobal’s surveillance solutions offer many advantages that can help you enhance your security posture, reduce your risk exposure, and improve your operational efficiency. Whether you need to prevent theft, vandalism, or violence, or monitor compliance, productivity, or customer experience, Vivency Global can provide you with a customized solution that meets your needs and exceeds your expectations. To learn more about VivencyGlobal’s surveillance solutions, contact us today.
#Surveillance#Security#Monitoring#CCTV#Privacy#Technology#Data collection#Intelligence#Video analytics#Remote monitoring#Access control#Intrusion detection#Biometrics#Facial recognition#Network security#Smart cameras#Privacy concerns#Threat detection#Cybersecurity#Artificial intelligence (AI)#Machine learning#Sensor networks#Crime prevention#Homeland security#Public safety
1 note
·
View note
Text
Hello there, I'm Md. Maruful Islam is a skilled trainer of data annotators from Bangladesh. I currently view my job at Acme AI, the pioneer in the data annotation sector, as an honour. I've improved my use of many annotation tools throughout the course of my career, including SuperAnnotate, Supervise.ly, Kili, Cvat, Tasuki, FastLabel, and others. I have written consistently good annotations, earning me credibility as a well-respected professional in the industry. My GDPR, ISO 27001, and ISO 9001 certifications provide even more assurance that data security and privacy laws are followed. I genuinely hope you will consider my application. I'd like to learn more about this project as a data annotator so that I may make recommendations based on what I know. Fiveer- https://www.fiverr.com/s/8kr2Pv
#data annotation#data analytics#ai data annotator#ai image#artificial intelligence#machinelearning#video annotation#computer vision
0 notes
Text
Intelligent Video Analytics is an advanced technology that combines advanced video surveillance systems with powerful analytics software. This combination enables real-time tracking, detection, and evaluation of video footage, providing invaluable insights and automated responses to potential security threats.
0 notes
Text
0 notes
Text
Artificial intelligence video analytics

The rise of artificial intelligence has sparked a swift increase in embedded video analytics surveillance. This includes smart cameras and advanced digital video recorders equipped with edge AI automation. These technologies now handle tasks that previously demanded human monitoring.
Generative AI enhances this landscape by enabling precise searches within digital video content at specific times, along with conducting sentimental and tonal analyses. Its broader function lies in extracting valuable, pertinent information from digital videos. Unlike video compression, which aims to shrink digital video sizes by exploiting redundancies, analytics delves into comprehending the content within the video itself.
Video Management Software Systems and Video Motion Detection solutions are the culmination of advancements in computer vision, detection analytics, motion detection, pattern analysis, and machine intelligence. They cater to diverse industry sectors like surveillance, retail, and transportation analytics, often referred to as video content analysis (VCA) or intelligent video.
visit here:-
0 notes
Text
Smoke and Fire Detection using AI Video Analytics
As we hear about, a lot of smoke and fire incidents happened due to gas leaks, electrical faults, and heating systems, which led to big incidents. According to the last-year report of New Delhi, over 16,500 fire-related incidents were claimed, in which 82 people died and 722 were injured in 2022.
There are several other cases that came to attention in which people lost their lives due to such incidents. To prevent this, this smoke and fire detection solution came into the market as a bravo, due to which we can see there is a reduction in the number of smoke and fire incidents. Many industries are also adapting this AI-based technology to tackle such problems. There are several reasons AI-based smoke and fire detection proved to be a game-changing solution in the market.
Benefits of Smoke and Fire Detection using AI Video Analytics:
Early Detection: AI-based systems can detect fires and smoke at an earlier stage. They can analyse various data sources, such as video streams and environmental sensors, to identify potential hazards before they escalate.
Reduced False Alarms: AI algorithms can distinguish between real threats and false alarms more effectively. This reduces the likelihood of unnecessary evacuations or emergency responses caused by cooking smoke or steam etc.
Analytics and Insights: AI can provide valuable insights and analytics regarding fire risks and incidents, helping in the development of preventive measures and better emergency planning.
Cost-Effective Maintenance: AI-based Smoke and Fire detection solutions often require less maintenance, reducing long-term operational costs.
#video analytics#innovativetechnology#smoke detector#ai detection#artificial intelligence#intozitechnology#safety first#safety and security#fire risk#technology
0 notes
Text
How AI is Transforming the Retail Sector: The Role of Video Analytics
New Post has been published on https://thedigitalinsider.com/how-ai-is-transforming-the-retail-sector-the-role-of-video-analytics/
How AI is Transforming the Retail Sector: The Role of Video Analytics


AI has become an indispensable tool in reshaping industries worldwide, and retail is no exception. From enhancing customer experiences to optimizing operations, AI-driven technologies are having a profound impact across the retail ecosystem. Among the most notable innovations is video analytics, which, through the use of computer vision, is providing retailers with powerful insights into consumer behavior, store dynamics, and operational efficiency.
The global artificial intelligence (AI) in the retail market was valued at USD 7.14 billion in 2023 and is projected to grow from USD 9.36 billion in 2024 to USD 85.07 billion by 2032, reflecting a compound annual growth rate (CAGR) of 31.8% during the forecast period. This significant growth demonstrates that AI, particularly in video analytics powered by computer vision, is no longer just an experimental technology. Instead, it is delivering tangible, real-world benefits. As AI adoption accelerates across the retail sector, video analytics has become a key strategic tool, enabling businesses to innovate and drive growth in ways that were previously unimaginable.
The Evolution of Video Analytics in Retail
The use of video analytics in retail initially focused on basic security functions, such as loss prevention, utilizing surveillance footage to monitor suspicious activities and prevent theft. However, as technologies advanced, the scope of video analytics expanded far beyond security. Retailers now use these tools to gain deep, data-driven insights that impact all areas of their operations, from store layout to customer experience.
At its core, computer vision enables machines to interpret and understand visual data. In the context of video analytics, this means that surveillance footage is no longer just viewed by human eyes for security purposes; instead, AI systems equipped with computer vision algorithms analyze the footage in real-time, identifying patterns, behaviors, and trends that would otherwise be difficult to track manually.
AI-powered video analytics, driven by computer vision, provides retailers with detailed insights into customer behavior, store layouts, and operational bottlenecks. For instance, retailers can analyze foot traffic patterns, monitor dwell times (the amount of time customers spend in specific areas), and assess customer engagement with various products. By integrating these insights into their decision-making processes, retailers can fine-tune their strategies to enhance the shopping experience, optimize store layouts, and maximize sales performance.
Improving Operational Efficiency
One of the most impactful uses of computer vision and video analytics in retail is in improving operational efficiency. By leveraging real-time data, retailers can respond proactively to issues such as understaffing, long checkout lines, overcrowding, and even suspicious activity. Real-time alerts powered by computer vision algorithms allow store managers to make immediate adjustments, ensuring smoother operations and a better customer experience.
For example, video analytics can alert managers when a particular area of the store is overcrowded, enabling them to redistribute staff or adjust product placements to ease congestion. Similarly, if the system detects understaffing at checkout counters, it can prompt managers to deploy additional staff to prevent long wait times. These real-time operational insights help retailers make smarter, data-driven decisions, improving both efficiency and profitability.
Large retail chains are also leveraging video analytics for predictive analysis. By analyzing trends in customer behavior over time, powered by the precision of computer vision, they can make more informed decisions regarding store layouts, product placements, and staffing schedules. This predictive capability allows retailers to plan ahead, optimize resource allocation, and reduce costs, all while improving customer satisfaction.
Enhancing Customer Experience
In today’s highly competitive retail environment, customer experience is a critical differentiator. AI video analytics offers retailers a unique advantage by providing granular insights into how customers interact with their store environment, products, and even staff. This data helps retailers optimize the store layout, improve customer flow, and reduce friction points in the shopping experience.
For example, it helps in identifying which products are most frequently interacted with and how long customers engage with them. If certain products draw significant foot traffic but result in low sales, retailers can investigate whether issues like poor product placement, inadequate promotions, or lack of staff engagement are the cause. These insights enable more informed decisions that improve customer satisfaction and increase conversion rates.
Evidence-Based Decision Making
A key advantage of AI-powered video analytics and computer vision is its ability to provide objective, evidence-based data that retailers can trust. Unlike traditional methods of tracking foot traffic and customer behavior, which often rely on manual counting or assumptions, AI video analytics provides precise, real-time data that accurately reflects customer interactions.
The reliability and transparency of this data enable retailers to make informed, data-driven decisions that can improve store performance and profitability. For example, it can be used to track and validate key performance indicators (KPIs) like foot traffic, conversion rates, and dwell times. By combining these insights with other data sources—such as sales data, customer surveys, and inventory management systems—retailers can gain a comprehensive understanding of what drives success in their stores.
The Rise of Offline Retail and the Importance of AI Video Analytics
Despite the rapid growth of e-commerce, offline retail is showing strong signs of resilience and growth. According to CBRE’s India Market Monitor Q4 2023, the retail sector in India reached an all-time high leasing volume of 7.1 million square feet across the top eight cities, a 47% increase compared to 2022. This signifies that physical retail space is still in high demand, and retailers are finding ways to adapt and thrive alongside the rise of online shopping.
In an era where consumers expect seamless, personalized experiences, offline retailers are increasingly turning to AI technologies to enhance their competitive edge. With rising operational costs—such as higher leasing, manpower, and logistics expenses—AI-driven video analytics powered by computer vision provides a way to optimize store operations and improve customer engagement, all while keeping costs under control.
Video analytics helps retailers monitor how today’s consumers engage with brands in-store, providing critical insights into foot traffic, product interest, and overall store performance. These insights are particularly important as the cost of running a physical store continues to rise. Retailers are no longer focused solely on maximizing sales but also on delivering exceptional in-store experiences that build customer loyalty and strengthen brand equity.
The Path to Widespread Adoption
As AI video analytics technology becomes more refined and affordable, its adoption in the retail sector is expected to accelerate. Many retailers are already investing in these solutions, recognizing their ability to improve operational efficiency, optimize store performance, and enhance the customer experience. One of the key factors driving adoption is the ability to integrate video analytics with existing security camera infrastructure. Most retailers already have a security camera network in place, and leveraging this infrastructure to implement video analytics solutions significantly lowers the cost and complexity of adoption.
The ability to quickly deploy AI video analytics using existing resources makes it an attractive option for retailers of all sizes, from large chains to smaller independent stores. By adopting AI video analytics, retailers can unlock powerful insights that drive more informed decision-making, reduce operational costs, and ultimately enhance their bottom line.
Conclusion
AI-powered video analytics is transforming the retail sector by providing retailers with actionable insights into customer behavior, store operations, and overall performance. The ability to monitor foot traffic, track customer engagement, optimize store layouts, and respond proactively to operational inefficiencies is helping retailers enhance the in-store experience and boost profitability.
As the retail landscape continues to evolve, AI-driven video analytics and computer vision will remain key tools for retailers seeking to gain a competitive advantage in a rapidly changing market. In the coming years, AI video analytics will become even more integrated into retail operations, offering advanced capabilities such as predictive analytics, real-time customer insights, and seamless integration with other AI-powered technologies. Retailers who embrace these innovations will be better positioned to meet the demands of today’s tech-savvy, experience-driven consumers, ensuring their success in the future retail landscape.
#2022#2023#2024#adoption#ai#AI adoption#AI systems#AI video#AI-powered#alerts#Algorithms#Analysis#Analytics#artificial#Artificial Intelligence#Behavior#billion#brands#cities#Commerce#complexity#comprehensive#computer#Computer vision#consumer behavior#consumers#customer engagement#customer experience#customer experiences#customer loyalty
0 notes
Text
Debunking the Myth about Stolass' Lack of Awareness
Justifying Stolass' harassment by his ✨unawareness✨ is such a popular tactic of the stans. "He didn't know his behavior makes Blitzø uncomfortable!" they say. "He was sheltered all of his life!" they say. Some of them are bold enough to headcanon Stolass as autistic even.
However, what if I say there's the scene - the one single scene - that wrecks all those statements about Stolass' unawareness? And just the one shot expresses the whole essence of my point. Do you want to see it? Okay, here it is:
If you didn't comprehend it (maybe you forgot this moment from the series) that's fine. I was going to analyse this anyway 🔎
Here's the context: S2E4, "Western Energy". Stolass, Stella and Andre-blah-blah are sitting at the cafe for privileged jerks and discussing S&S' divorce. Then Striker breaks into the building and fires a series of shots at the prince (all missed the target). Right in the middle of the shooting Stolass turns to Stella, looks at her evil smirk... and he gets it all! Immediately! This is literally what's happening. Stolass understood that his wife has put a hit on him. And how did he come up with that conclusion?
He! Just! Read! Facial! Expression!
The line that's addressed from Stolass to Striker confirms this unambiguously:

So what is the unawereness we could talk about after all this? No, really! Stolass not only identified Stella's emotion (schadenfreude) correctly but also connected it to the current situation and his wife's general attitude towards him from which he deduced the reason for Stella's emotion (she craves his death, therefore she's the one who put a hit on him). And all this in a matter of seconds. To the whistle of angelic bullets!!! Like usually people become less analytical in moments of danger. But here's Stolass suddenly showing us miracles of emotional intelligence! Bravo!
So why can't he apply the same tactic to Blitzø or Octavia? Why is he able to grasp emotions of his abuser - who he hates and despises - very easily; but he stays unaware for so long when it comes to his loved ones? Why it took him almost a whole day to see that Via doesn't enjoy being in Loo Loo Land (although she openly said this from the very beginning)? Why it took him nearly a year (!!!) to see that Blitzø doesn't enjoy being his "impish plaything" (although he made it clear constantly)?
Isn't he able to understand them? Or maybe just doesn't want to?
Draw conclusions by yourself. And those of you who wants a few more thoughts of mine - I'm gladly inviting you under the cut!
You know what's the funniest part? This little detail doesn't have any impact on the story! At all!!! You literally could cut it off, change the dialog between Stolass and Striker a bit and TA-DA! Nothing would've changed. Because Stolass doesn't remember that his wife tried to kill him. He doesn't take any precautions even! Like, apparently, Via spends almost the entire second season with her mother.... and Stolass' totally OKAY with this?! Huh?!?
Why was that moment pushed into the series regardless? Well, I think Viv just wanted to praise her babyboy.* Like, "Oh, look how smart and cool he is, not like that stupid cow, Stella!" But ironically this decision has exactly the opposite effect.
I mean, it's a normal thing not being able to understand something in a few seconds in an emergency. Just a normal thing. Honestly, see no reason for judging. But if you, Stolass, have actually realised your abusive wife's desire for unaliving you and then you don't do shit preferring to chase your butty call while your precious daughter lives with that abusive wife of yours... Then I have a question:
Besides, as I just said, this all levels the whole "Stolass' unawareness" excuse to the ground. And you can't fix this by making excuses below your own video, Vivienne 🙄
If you want your audience to grasp something, then you should follow the "Show, Don't Tell" rule. Also it wouldn't hurt you to try and not contradict yourself. This time you had every chance to do so but you've just missed it... Congrats?
So what was the point?!
*By the way something similar was showed at "Oops" when Stolass stayed with Ozz (for some unclear reason) and explained to him - the Deadly Sin - how deals with the Deadly Sins are working! Yeah, what a nice fellow Stolass is, saved helpless dumb Ozzie from losing everything! Isn't that adorable everytime Stolass needs to look smart somebody must lose all of their braincells? Looks like somebody doesn't beat the Gary Stu allegations, huh?
#helluva boss critical#vivziepop critical#anti stolas#stolas critical#fandom critical#this is stupid#observation#analysis#important!!!#i think not enough people are talking about this#maybe im the first one?#idk
197 notes
·
View notes