kunzwisisa

Webhusaiti Webhusaiti inoita tsvakiridzo nekusimudzira pakunzwa kwakangwara : “robhoti, the Indaneti zvinhu, kutyaira kwakazvimirira, masisitimu chaiwo-nguva, kuona komputa, uye chiratidzo chekugadzirisa".

Webhusaiti Webhusaiti ine hunyanzvi hwechigadzirwa chehunyanzvi pakunzwa kwakangwara: "robhoti, iyo Indaneti zvinhu, kutyaira kwakazvimirira, masisitimu enguva-chaiyo, kuona komputa, uye kugadzirisa zviratidzo” ed Webhusaiti Webhusaiti ine hunyanzvi mune bhizinesi maitiro ekuziva kuvaka tsika software iyo iri modular pahungwaru kunzwa: "robotics, iyo Indaneti zvinhu, kutyaira kwakazvimirira, masisitimu chaiwo-nguva, kuona komputa, uye chiratidzo chekugadzirisa".

Webhusaiti Webhusaiti ine tekinoroji yechigadzirwa hunyanzvi uye ruzivo mubhizinesi process ruzivo kugadzira tsika software iri modular pahungwaru kunzwa: "robotics, iyo Indaneti zvinhu, kutyaira kwakazvimirira, masisitimu chaiwo-nguva, kuona komputa, uye chiratidzo chekugadzirisa".

Webhusaiti Webhusaiti ine hunyanzvi hwechigadzirwa chehunyanzvi pakunzwa kwakangwara: "robhoti, iyo Indaneti zvinhu, kutyaira kwakazvimirira, masisitimu chaiwo-nguva, kuona komputa, uye chiratidzo chekugadzirisa" uye inotamisa bhizinesi tsika uye pamusoro pezvose ruzivo rwekufambisa.

Nhoroondo yeIntelligent Sensing

The basics (50s-80s)

• Kutanga Sensors: Kuvandudzwa kwema transducers ekutanga kuyera tembiricha, kudzvanywa, kufamba, kukwirisa…
• Industrial michina: Sensors inova kiyi kune maindasitiri process otomatiki uye mhinduro zvishwe mukugadzira kutonga.
• Miniaturization: Kufambira mberi kweMicroelectronic kunobvumira kugadzirwa kwemadiki, akachipa masensa anogona kubatanidzwa mune akasiyana masisitimu.

Towards Intelligent Sensing (80s - 90s)

• Kuwedzera mumakomputa ari pabhodhi: Microprocessors yakabatana zvakananga kune sensors inobvumira kugadzirisa kwenzvimbo kweiyo dati, yekusefa, muripo uye kuenzanisa.
• Multisensory Systems: Masisitimu ekucherekedza akagadzirwa anounganidza ruzivo kubva kune akasiyana marudzi emasensa (semuenzaniso, sonar, radar, artificial kuona), yakakosha kune mamwe maapplication akaoma.
• Sensor Networks: Yakabatana yakaderera-simba network iri kutanga kushandiswa kune kure yekutarisa maapplication (semuenzaniso zvakatipoteredza, traffic).

Kuberekwa Kwemazuva Ano Intelligent Sensing (2000s - Nhasi)

• Internet Zvinhu (IoT): Kuputika kweIoT kunoita akabatana sensor masisitimu anounganidza huwandu hwakakura hwe dati.
• Machine Learning: Maitiro e machine learning uye AI (Artificial Intelligent) inoshandiswa kune dati yakaunganidzwa inogonesa kukwirira kwepamusoro-soro, kucherechedzwa kwepateni uye kuongororwa kwekufungidzira.
• Smart Zvinhu: Intelligent sensors, nekugadzirisa dati pasaiti, vanopa zviuru zve "smart" zvinhu, nharaunda uye zvivakwa zvinokwanisa kuita kune zvekunze zvinopinda maererano nemitemo yakaoma.
• Wearable Tech uye Healthcare: Iyo chaiyo-nguva yekuonekwa kweiyo biological masiginecha ane zvinopfekwa kana zvakabatanidzwa zvishandiso zvinogadzira mikana munharaunda yekurapa, yemitambo uye yekusimba.

Mafambiro nezvinonetsa

• Advanced Sensory Fusions: Kubatanidza data kubva kumhando dzakasiyana-siyana dze sensors (kuona, LIDAR, odhiyo, nezvimwewo) inobvumira masisitimu akangwara kuwana 360-degree kunzwisisa kwenyika.
• Edge Komputa: Processing of dati padyo nemasensa inoderedza latency uye kudiwa kwekufambisa huwandu hukuru hwe dati rough. Yakakosha pakukurumidza-mhinduro masisitimu akadai semotokari dzinozvityaira.
• Zvakavanzika uye tsika: Ubiquity yekuunganidza dati kubva kuhurongwa hwehungwaru hunoda mwero pakuvanzika uye matanho ekuvimbisa kushandiswa kwetsika kunoremekedza rusununguko rwemunhu.
• Energy uye Miniaturization: Kudiwa kwemasensa anogara kwemakore kana kuti anofambiswa zvakananga nenharaunda anovhura matekinoroji ehunyanzvi hwekupedzisira-mwenje uye yakaderera-simba sensors.

mhedziso

Iyo nhoroondo yeIntelligent Sensing inogara ichishanduka. Kufambira mberi kwave kwakavakirwa pakuwedzera kuoma sensors, simba computing, IoT, analytics dati. Zvishandiso zvinotangira kubva pakutyaira wega, maguta akangwara, indasitiri 4.0, hutano hwakabatana, nezvimwewo. Kuchengeta zvinhu zvakaita sekuvanzika uye kushandisa zvine hungwaru matambudziko akakosha kuitira kuti ungowana zvinovaka chete munharaunda.

Isu tiri vamwe web agency uye imwe webhu yekushambadzira agency, tinotsanangura zvako Webhusaiti Webhu kune edu masevhisi akaenderana kune yekupedzisira vatengi, isu tinoshanda se Software House , Software Kambani , Software kuvandudza kambani, webhu yekushambadzira agency, web agency e dandemutande sangano.
Webhusaiti Webhusaiti inopa mazano ebhizinesi emakwikwi, kuva mutungamiriri mukuzivikanwa kwedhijitari yekambani yako.

Isu tinopa mhando yepamusoro kune ese edu vatengi uye rega bhizinesi ravo redhijitari ribve.

Webhusaiti Webhusaiti ndiyo injini yedhijitari purojekiti, ngatibvise hunhu hwako hwedigital. Tinoda kuve shamwari yako yekambani yedhijitari.

Havasi ivo chete vari padyo nesu vanotisarudza.

arun CEO

👍Online Web Agency | Webhu Agency nyanzvi muDigital Marketing uye SEO. Webhu Agency Pamhepo iWebhu Agency. YeAgenzia Web Online kubudirira mukushandurwa kwedhijitari kunobva panheyo dzeIron SEO vhezheni 3. Hunyanzvi: Kubatanidzwa kweSystem, Enterprise Application Integration, Service Oriented Architecture, Cloud Computing, Dhata warehouse, njere dzebhizinesi, Big Data, portals, intranets, Web Application. Dhizaini uye manejimendi ehukama uye multidimensional dhatabhesi Kugadzira nzvimbo dzekupindirana dzedhijitari midhiya: usability uye Graphics. Online Web Agency inopa makambani masevhisi anotevera: -SEO paGoogle, Amazon, Bing, Yandex; -Web Analytics: Google Analytics, Google Tag Manager, Yandex Metrica; -Kushandura kwemushandisi: Google Analytics, Microsoft Clarity, Yandex Metrica; -SEM paGoogle, Bing, Amazon Ads; -Social Media Marketing (Facebook, Linkedin, Youtube, Instagram).

Ona Yakazara Bio

Digital Marketing Database DBMS Dhata Warehouse Data Science Kushambadzira Pamhepo Information Technology Webhusaiti Webhu Advertising Agency Marketing