DAHUA IPC-EW5541-AS VS IPC-HDBW1230E-S5 VS IPC-HDBW1431E

Dahua Technological innovation, a major answer service provider in the worldwide movie surveillance sector, formally introduced deepsense sequence IP Cameras consisted of AI-driven face detection community cameras DAHUA IPC-EW5541-AS DAHUA IPC-HDBW1230E-S5 DAHUA IPC-HDBW1431E (DH-IPC-HDBW8242E-Z4FD, DH-IPC-HFW8242E-Z4FD-IRA-LED and DH-IPC-HFW8242E-Z20FD-IRA-LED) and face recognition network cameras (DH-IPC-HDBW8242E-Z4FR, DH-IPC-HFW8242E-Z4FR-IRA-LED, and DH-IPC-HFW8242E-Z20FR-IRA-LED). Pushed by AI deep-learning algorithms, it allows correct encounter seize and confront characteristics evaluation for true-time checking, mainly utilized for business parks, schools, airport, banks and buying mall crucial areas.

Launched by Dahua Technology, WizSense is a series of wide range AI products and solutions that adopt independent AI chip and deep learning algorithm. It can recognize human and vehicle in an image with high accuracy, enabling users to focus on real targets. WizSense focuses on human and vehicle, benefiting everyone with intelligent functions, simple configuration and inclusive products.

DAHUA IPC-EBW81242-AS-S2

Dahua Technology, a globe-major video clip-centric sensible IoT answer and support provider, effectively launched its brand new remedy for sensible night time surveillance – WizSense Entire-coloration Collection Community Digicam.

Intelligent. Simple. Inclusive. These are the key value of Dahua WizSense, a series of wide-range AI products developed by Dahua. Following these principles, Dahua has continuously developed additional AI features to deliver accurate detection, quick target search, simplified operation and inclusive AI products for customers. To tell us more about the latest upgrades in WizSense this year, we have interviewed Mr. Eaden Xie, Product Director at Dahua.

Hello Mr. Xie! Can you explain to us briefly what is WizSense and its main applications?

WizSense is a series of wide range AI products and solutions that include IPC, PTZ, NVR, and XVR. It adopts independent AI chip and deep learning algorithm to focus on human and vehicle, and extend its AI capability relevant to image, streaming, searching, etc. WizSense is mainly used for IPC-HDBW1230E-S5 SMB scenarios, such as retail, school, and villa. It makes your video monitoring intelligent, simple and inclusive.

Unparalleled Night Surveillance Driven By 4 Technological Improvements

This new digicam collection embraces Dahua Technolog ipc-hdbw71242h-z four significant technological improvements:

Big Aperture Lens – Features F1. tremendous massive aperture that collects 2.five moments amount of mild in comparison with F1.six aperture, producing brighter picture.

Substantial-Overall performance Sensor- Provides thirty% photosensitive ability enhance by means of DAHUA IPC-EBW8630 s greater sensors.

Advanced ISP – Dahua ISP four. drastically increases Signal-to-Noise Ratio (SNR) and shade replica.

Warm Mild – The weighted radiance of blue light is 40% underneath European Union standards, which provides lower mild air pollution and significantly less harm to human eyes.

With these 4 technological progression, Dahua Complete-colour Digital camera delivers unparalleled performance at night. It achieves 24/7 monitoring by capturing vivid particulars and presenting coloured photographs in lower gentle problems.

Standard IR Camera VS Full-color Camera

At the identical time, it supplies heat and intelligent auxiliary light to guarantee impression clarity and quality even in total darkness. Thanks to its constructed-in AI functions, greater checking precision at night is assured.

In terms of screen, it is still a 16:10 ultra-narrow bezel screen, the screen ratio has increased from 92.3% to 93.3%, other parameters are basically the same, the resolution is 2560*1600, the screen supports 165Hz high refresh rate, brightness 500nits, 100% sRGB, 3ms Screen response time, supports DC dimming, and has passed hardware-level low blue light certification.

In terms of configuration, the Savior Y9000X is equipped with Intel’s 12th-generation Core processor, with up to i7 14-core 20-thread specifications, turbo frequency up to 4.7GHz, and built-in NVIDIA GeForce discrete graphics card, up to RTX3070, and the highest performance release. up to 100W.

The Rewards of  DAHUA IPC-EW5541-AS

In terms of battery life, the Lenovo Savior Y9000X 2022 has a large battery of 99.9Wh and supports 230W fast charging, which can charge 70% of the power in 30 minutes, and the weight of the original charger is reduced by 500g and the volume is reduced by 62%, making the whole machine portable Go a step further.

In terms of interfaces, the Lenovo Savior Y9000X 2022 has Thunderbolt 4, full-featured USB-C, 3 USB-A, SD card reader and 3.5mm headphone jack, HDMI 2.1 interface. In addition, the Y9000X is also equipped with Harman dual speakers, which supports fingerprint recognition and 2-second wake-up. The cooling adopts the new Frost Blade Pro cooling system 4.0.

Total-color + SMD Decreases False Alarms Even At Night time

As the first organization in the IPC-EW5541P-AS industry to combine SMD and Full-colour for night surveillance, Dahua Engineering delivers each technologies’ positive aspects to its consumers. On a single side, SMD can effortlessly method visible details collected by IPC-HDBW1431E-S4 Full-shade Digicam. On the other side, the Complete-coloration Digicam substantially raises the accuracy of SMD at night (see table beneath). In addition, Dahua SMD has the ability to effectively filter untrue alarms activated by pets, leaves, branches, raindrops, lights and other irrelevant objects, and only focus on genuine threats – human and vehicle.

What makes Dahua WizSense unique compared to other similar solutions in the market?

As we all know, false alarms of a surveillance system are very annoying. Dahua AI cameras focus on human and vehicle targets, which broadens the applications of SMD (Smart Motion Detection). The demand for SMD applications has become more and more diverse, with higher requirements depending on each scenario. Dahua has integrated the latest deep learning algorithm into SMD 4.0, which helps reduce false alarms caused by small and large animals.

In addition, the newly added Quick Pick technology integrates IP cameras with AI NVR to achieve human/vehicle search based on AI algorithm. It greatly saves labor costs and increases the accuracy of results compared to manual checking on SMD events. For example, after detecting a suspicious target on the monitoring screen, you can quickly retrieve the relevant video on the same day through Quick Pick, and then further locate the target of interest from the video, greatly reducing the search steps and saving valuable time.

The brand of Lvlian, I believe everyone who pays attention to the electronic technology circle is familiar with the term private cloud. Some people may be familiar with the term, and some people may not. Then the combination of the two, Lvlian private cloud, has produced a lot of chemical reaction.

Let me briefly introduce private cloud disks. In this technological society of big data flow, I believe many people know about Baidu network disk, Alibaba cloud disk, 115 network disk, etc., etc. These network disks are what we call public cloud. Disk, literally, the information we have in it is all on the Internet, although it is not completely public, because there are still our account restrictions and protections, but in fact, everything is not completely private, and it is often subject to unauthorized access. Member speed limit, space limit and function limit, etc.

The private cloud disk, in simple terms, is the data center built by the user, and the private cloud is exclusive to the customer. Strictly speaking, it is its own network-connected hard disk enclosure.

The difference between public cloud and private cloud is no longer described here. There are many introductions on Baidu, and there is already a lot of nonsense here.

2. Product background

Before the DH2600, the Lvlian private cloud, the first generation was DH2000, the second generation was DH2100, and the third generation was DH1000, but in fact, the difference between these three generations is very small, because the configuration is exactly the same, 2000 and 2100 The difference is that the latter cancels the HDMI interface, while the 1000 is a reduced version of the 2.5-inch hard drive of the 2100 (I actually like the miniature of the DH1000 very much, but since the 2100 can insert both 3.5-inch hard drives and 2.5-inch hard drives, I myself I actually bought the 2100)

And the protagonist I am introducing today is Lvlian Private Cloud DH2600, Lvlian’s fourth-generation private cloud (the second generation on sale)

Dahua deepsense series IP Cameras

AI powered confront recognition

What knowledge makes us smarter? What are the IPC-HDBW1230EP-S5,IPC-EW5541P-AS,IPC-HDBW1431EP-S4,cognitive structures we use to understand the world, interpret new experiences, and make thoughtful choices? Defining a framework that articulates knowledge for deeper understanding and higher cognition to humans or AI will help us to structure our discussions on this topic.

Recently, Gadi Singer, vice president and director of emergency AI research at Intel Labs, introduced several dimensions of this knowledge constructs that empower AI with higher cognition, and pointed out a path to more intelligent machines.

Pictured is Gadi Singer, vice president of Intel Labs

At the core of higher-level machine intelligence, it may be that knowledge construction helps AI systems organize their own worldview, giving dahua IPC-HDBW2431E-S-S2 AI the ability to understand meaning, events, and tasks. In doing so, machine cognition will expand from data to knowledge structures, including dimensions such as descriptive knowledge, world dynamic models, and origins.

When learning a language, we distinguish between form and meaning: form refers to the symbols used to express meaning, that is, superficial expressions. Each form has a specific meaning in a specific context, and forms can have different meanings in different contexts.

As Bengio and Schölkopf et al. summarize in “Towards Causal Representation Learning”: “Most current success in machine learning arises from large-scale pattern recognition on appropriately collected independent and identically distributed (i.i.d) data. “The IPC-HDBW1230E-S5 Price,IPC-EW5541-AS price,IPC-HDBW1431E-S4 price, system absorbs observable elements, such as text characters, sound signals, and image pixels, and establishes patterns and random correlations, while producing excellent results in recognition-based tasks.

Paper address: https://arxiv.org/pdf/2102.11107.pdf

There is a growing belief that algorithms must move beyond superficial correlations to a level of true understanding, leading to higher levels of machine intelligence. This radical shift will enable so-called System 2, 3rdWave, or generalized/flexible AI. As Gadi Singer puts it in his core blog, “The Rise of Cognitive AI,” higher levels of machine intelligence require deep knowledge-building that can transform AI from superficial relevance to truly understanding this world.

In the third wave of artificial intelligence, abstraction (such as creating new IPC-HDBW1230EP-S5,IPC-EW5541P-AS,IPC-HDBW1431EP-S4,meaning) and reasoning (planning and decision-making) will revolutionize, according to John Launchbury of the U.S. Defense Advanced Research Projects Agency (DARPA). The DAHUA IPC-HDBW2431F-AS-S2 third wave itself is characterized by contextual adaptation, that is, the system constructs contextual interpretation models for various phenomena in the real world.

There are two dimensions in the knowledge dimension that reflect the view of the world, one is the descriptive dimension, which conceptually abstracts the things that exist in the world, and the other is the dynamic model of the real world and its phenomena.

Furthermore, stories enhance the human ability to understand and communicate complex stories based on shared beliefs and myths. Context and source attribution, and value and priority are meta-knowledge dimensions that bring about a constant stacking of condition-based validity and knowledge. Finally, conceptual references are structural foundations that exist across dimensions, modalities, and references.

Combined, these six knowledge dimensions allow AI to go beyond event correlations and gain deeper understanding, as the underlying concepts of these six knowledge dimensions are persistent and can explain and predict the past and the future events, even allowing planning and intervention, and taking into account counterfactual realities—hence the term “deep knowledge” used in the text.

Elucidating and describing the type of knowledge building required for machine intelligence helps to determine the best way to achieve this knowledge building, leading to higher levels of machine intelligence.

Six knowledge dimensions that support higher levels of intelligence

For AI systems, implementing the knowledge-building observed in human understanding and communication can provide substantial value to intelligence. Actual value grows substantially when all knowledge types are supported and combined.

Based on Dahua ipc-ebw81242-as-s2 AI-run protection technologies, as well as market top wide dynamic variety (WDR) engineering, deepsense series IPC provides high clarity face impression snapshots, even in the most contrasting lights conditions. Apart from, it supports 6 distinct facial characteristics extraction from the video clip and abstracts individuals various attributes including gender, age, expression (satisfied, relaxed, amazed, unhappy, and offended), eyeglasses, mouth masks, and beard & moustache, which can make searching and tracking subjects of desire far more efficient.

What drives the development of Dahua WizSense?

There are two main drivers of WizSense’s product. The first one is dahua IPC-HDBW2431R-ZS-S2 AI algorithm and technology evolution. With the constant evolution of AI technology, more AI extended functions have been developed, from human and vehicle detection to animal exclusion detection, as well as intelligent bit stream to save storage cost. Intelligent products like WizSense – which now offers Quick Pick and AI SSA –  accelerate the benefit and development of AI technology and let more people experience the convenience brought by AI.

The second aspect is customers’ continuous demand for products that offer more new functions and better user experience. Just like the development of product resolution from 720p to 4K and 8K, users’ requirements for product accuracy, extended functions and operability have also evolved.

Greater performance at significantly less storage

What value do these new features bring to customers and system integrators?

After an event, searching through massive amount of surveillance videos for suspects and evidence costs a lot of time and effort. With WizSense IP camera and Dahua AI NVR, the Quick Pick technology can help users to easily search for and pick out human and vehicle targets from the SMD event videos, DAHUA IPC-HDBW2431R-ZAS-S2 prioritizing the highest matches and reducing searching time. This function is only available when WizSense IPC is connected to a Dahua AI NVR. For system integrators, this function combines IPC and NVR to form a systematic solution, which can achieve more long-term value.

By having images as an alternative of recording videos, Dahua’s new IPC successfully cut the bandwidth needs. And when a blurry or angled photo is detected, it will instantly be discarded, so that only the clearest and the most ideal photos are sent for analysis, additional preserving bandwidth and storage area. Moreover, supported by sophisticated movie encoding specifications (H.265 & H.264), it saves up to 70% storage even though sustaining high good quality movie in contrast to common movie compression specifications, drastically minimizing the whole procedure price for users.

Custom-made for specific requirements

Right after exporting the information into the developed-in database (up to 10,000 experience photos), Dahua’s deepsense IPC gives a consumer-welcoming and adaptable way for data administration, making face comparison more handy. Extra capabilities such as block/allow checklist and stranger method, these who are regarded as strangers or blocklisted individuals will cause the alarm in advance, additional enhance the efficiency of checking. It makes it possible for end users to management the similarity threshold, delivering specific confront comparison in accordance to users’ particular wants.

Speaking of new functions, what are the new features of Dahua WizSense this year?

Sure. We have brought 2 main upgrades on WizSense. First, the Quick Pick technology that allows searching based on extraction of clothing and vehicle color, and comparison with those in our database. As I previously mentioned, this feature significantly narrows down the search results to locate the footage of the target of interest. It can be applied in various scenarios such as retail shops and shopping malls to quickly search for a human/vehicle target or trace the movement path of a suspect during and after an event.

The second feature is AI Scene Self-Adaption or AI SSA. It adopts deep-learning algorithm to identify various specific scenes (e.g. rain, fog, backlight, low light, flicker), DAHUA IPC-HDBW2531E-S-S2 and adjust the image parameters accordingly to ensure the best image quality. It can be applied in outdoor scenarios where frequent weather and light changes occur. It doesn’t require configuring image parameters one by one, which saves time and labor costs.

To know more about these two new features, check out this demo video:

Descriptive Knowledge: Hierarchies, Classifications, and Attribute Inheritance

Descriptive knowledge (i.e. conceptual, propositional or declarative knowledge) describes things, events, properties of things/events and the relationships between them. Deep descriptive knowledge can extend its original definition, assuming a hierarchy of (appropriate IPC-HDBW1230E-S5 Price,IPC-EW5541-AS price,IPC-HDBW1431E-S4 price,) classes or concepts. Such knowledge can include facts and systems of record. Facts and information relevant to specific use cases and environments can be organized, leveraged, and updated as hierarchical knowledge.

The underlying ontology used in a single AI system can be seeded with task-related classes and entities (e.g., OpenCyc ontology or AMR-named entity types) from the curation system. This basic ontology should be extensible through neural network/machine learning techniques – that is, acquiring new knowledge leads to new entities, relationships, and classes.

2.DAHUA IPC-HDBW2831E-S-S2 World Model

Phenomenal models of the world allow AI systems to understand situations, interpret inputs/events, and predict potential future outcomes and take action. Phenomenal models are abstractions ipc-hfw3541e-as generalizations and can be divided into formal models and approximate (informal) real-world models; phenomenological models allow the use of variables and applications to instances in specific situations, and allow symbolic manipulation of specific instances or more general classes .

Examples of formal models include logic, mathematics/algebra, and physics. Compared to formal models, real-world models are often empirical, experimental, and sometimes messy. Models of the real world include physical models, mental models, and sociological models. The program model (“know-how”) is included in this class.

The causal model can help the development of artificial intelligence systems to the next level. In situations where the context changes, DAHUA IPC-HDBW1230E-S5,DAHUA IPC-EW5541-AS,DAHUA IPC-HDBW1431E-S4,past statistics can be effectively applied to the present to predict the future if combined with knowledge models such as causality, with an understanding of the context that controls the cause and the ability to consider counterfactuals. These models help to understand a situation or event in terms of conditions and possible factors. Causal reasoning is an integral part of the human mind, and in this way machine intelligence at the level of human intelligence can be achieved.

3. Story and script

As the historian Yuval Harari puts it, stories form a key part of the culture and worldview of individuals and societies. The concept of story is necessary to fully understand and explain human behavior and communication. Stories are complex and may contain multiple events and various pieces of information in a coherent narrative. Stories are not just collections of facts and events, stories also contain important information that helps develop understanding and generalizations beyond the presented data. Unlike world models, stories can be viewed as historical, referential, or spiritual. Stories can represent values ​​and experiences that influence people’s beliefs and behaviors. Examples include religious or ethnic stories, myths, and stories shared at any level of people.

4. Context and source attribution

Context is defined as the framework that surrounds an event and provides the resources for it to justify itself. Context can be seen as an overlying knowledge structure that regulates the knowledge it contains. Context can be persistent or ephemeral.

Persistent contexts can be long-term (such as knowledge acquired from a Western philosophical perspective or Eastern philosophical perspective), or they can change over time based on new learning materials. Persistent contexts do not make changes per task.

Transient context is relevant when a specific local context is important. DAHUA IPC-HDBW2831R-ZS-S2 Words are interpreted according to the local context of the sentences or paragraphs surrounding them. Regions of interest in an image are often interpreted in the context of the entire image or video.

The combination of persistent and transient contexts can provide a complete setup for interpreting and manipulating knowledge.

Another related aspect of knowledge is data provenance (aka data traceability), which includes where the data came from, what happened as the data traveled, and where the data went over time. AI systems cannot assume that all information they receive is correct or credible, especially in what has been called the “post-truth era.” Linking information to its source may be necessary to establish trustworthiness, certifiability and traceability.

5. Values ​​and priorities (including good/threat and ethics)

All aspects of knowledge (eg, objects, concepts, or procedures) have corresponding values ​​across the entire spectrum of judgment—from the greatest good to the greatest evil. It can be assumed that the evolution of human intelligence involves the pursuit of rewards and the avoidance of risks (eg, the pursuit of lunch; avoidance of being eaten as lunch). This risk/reward nexus is closely tied to knowledge. Potential gains IPC-HDBW1230E-S5,IPC-EW5541-AS,IPC-HDBW1431E-S4, and losses have utilitarian value; there is also an ethically based value for entities or potential future states. This ethics-based value reflects a moral value that “goodness” is not based on potential tangible rewards or threats, but rather on underlying beliefs about what is right.

Value and priority are meta-knowledge, which reflects the AI ​​system’s subjective assertions about knowledge, actions, and outcomes. This sets the stage for accountability, which should be taken seriously by those in charge of specific AI systems. The underlying value and priority system matters when AI systems interact with humans and make choices that affect human well-being.

6. Concept Reference: DAHUA IPC-HDBW1230E-S5,DAHUA IPC-EW5541-AS,DAHUA IPC-HDBW1431E-S4,Disambiguation, Unification and Cross-modality

Knowledge is based on concepts. For example, “dog” is an abstract concept – a concept that has multiple names (dogs are called differently in various languages), some visual features, sound associations, and so on. However, regardless of its manifestation and usage, the concept of “dog” is unique. The concept of “dog” is mapped to the English word “dog”, and the French word “chien”. The visual characteristics of “dog” may be as follows:

Dahua IPC-HDBW3241F-AS-M At the same time, the “dog” also corresponds to the barking sound.

A Concept Reference (ConceptRef for short) is a set of identifiers and references to all things related to a given concept. Concept references themselves do not actually contain any knowledge – knowledge resides in the dimensions introduced earlier. Concept references are the key to a multidimensional knowledge base (KB) because concept references incorporate all representations of a concept.

IPC-HDBW3241F-AS-M price

Wikidata is a good example of a multidimensional knowledge base that centrally stores structured data. In Wikidata, items represent all things in human knowledge, including topics, concepts, and objects. Wikidata entries are similar to the definition of ConceptRef in this framework – with one key difference: in Wikidata, the term “item” refers to both a given identifier and information about the identifier; ConceptRefs simply carry a pointer to the KB The pointer’s identifier. Information about the concept is then populated in the various views described in the previous chapters (eg, descriptive or procedural knowledge related to the concept).

common sense

Commonsense knowledge consists of tacit information, which refers to widespread (and commonly shared) unwritten assumptions that humans automatically apply to understand the world. Applying common sense to context is essential for AI to gain a deeper understanding of the world. In this framework, commonsense knowledge is considered to be a subset of the above six knowledge types.

2.IPC-HDBW1230E-S5 Price,IPC-EW5541-AS price,IPC-HDBW1431E-S4 price

The relationship between understanding and types of knowledge

Understanding is the foundation of intelligence. The move to more advanced machine intelligence has sparked a discussion about “understanding.” Joshua Bengio describes artificial intelligence with human understanding as:

understand cause and effect, understand how the world works;

understand abstract behavior;

Know how to use the above knowledge to control, reason and plan, even in novel scenarios;

explain what happened;

out-of-distribution (ie OOD, out-of-distribution) generation.

The knowledge-centered definition of understanding is: the ability to create a worldview with a wealth of knowledge representations; the ability to acquire and interpret new information to enhance this worldview; and to reason, decide, and interpret effectively existing knowledge and new information Ability.

Prerequisites for this understanding perspective are the following four functions:

Possess a wealth of knowledge;

acquire new knowledge;

Ability to connect knowledge instances across entities and relationships;

reason about Dahua IPC-HDBW3541E-AS knowledge.

Comprehension is not a binary attribute, but varies by type and degree. At the heart of this view is the nature of knowledge and its representation—the expressive power of knowledge structures and models that facilitate rapid development of comprehension and reasoning abilities.

imagine all people [and machines]

As Albert Einstein observed: “The true hallmark of intelligence is not knowledge, but imagination.” To be truly understood, machine intelligence must transcend data, facts, and stories. To reconstruct, discover and create a model of the universe behind observable properties and events, imagination is necessary. From the perspective of an AI system, imagination is achieved through creative reasoning, that is, inductive, deductive, or abductive reasoning, and producing novel results that are not strictly regulated by previous experience and input-output correlations.

Knowledge representation and reasoning is a mature field of artificial intelligence that deals with the representation of information about the world, enabling computer systems to solve complex tasks. Knowledge and reasoning are not necessarily distinct, but represent a spectrum from known to inferred. Machine understanding will be achieved through the ability to construct knowledge complemented by advanced relevant reasoning (eg, probabilistic and plausible reasoning, retrospective reasoning, analogical reasoning, default reasoning, etc.).

Neurosymbolic AI built on deep knowledge

In making AI more effective, responsible, and efficient to support people, our goal is to make AI systems more powerful while pushing AI to higher levels of cognition and understanding. Scientists have made tremendous progress in processing data, recognizing patterns, IPC-HDBW1230E-S5,IPC-EW5541-AS,IPC-HDBW1431E-S4,
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IPC-HDBW1230EN-S5,IPC-EW5541N-AS,IPC-HDBW1431EN-S4,and finding fleeting correlations, but it is still necessary to think about what types of knowledge give AI systems the ability to model and understand the world.

When we have a deeper understanding of the types of knowledge structures that AI needs to gain higher-level cognition, we can continue to build on this deep knowledge to enable machines to truly understand the world.

Dahua Technologies leverages the electricity of AI sensible products to support individuals realize the globe in a better way, and Dahua Engineering will keep on to lead the software of AI in stability industry, enabling a safer society and smarter dwelling for buyers and associates about the entire world.

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