A cikin bayanai na IoT na gida mai tsoro wanda ake amfani da bateri ko shari na suruwa, yana yawa kafin abin da abubuwa su iya samun lokacin takaici na yanzu da kuma kuskuren da alama na lokacin yanzu. Wannan shine babban takamaiman da ke hana zazzagawan da sauransu na kawo daga gida, amfani da kariya, da kuma kuskuren da alama na gida na kula da kayayyadi.
Don ganin wannan al'amarin al'umma, Rockchip ta bayyana RV1106 series na SoCs na fahimtar alamarin don AIoT alamarin fahimtar. Alamarin sun haɗa CPU, NPU, ISP, da video codec engine don alamarin fahimtar na kudin mai yawa kuma alamarin da ke bukatar kudin mai yawa. Alamarin sun haɗa alamarin da ke amfani da kudin, alamarin da ke kula da agro-kulobin da kula da gida, alamarin da ke kula da watsin ruwa, da kula da alamarin da ke cikin watsi ba su da mutum ba.

Funkciyar Mahallai |
Samfurin na Architecture da Kudin |
Kudin na Ingilishin |
CPU da MCU |
Matsayin ƙananan kore 32-bit ARM Cortex-A7 da NEON da FPU. Yana da 32KB I-Cache, 32KB D-Cache, 128KB L2 cache mai amfani da dukkanin kore, da MCU mai gaba daya da 16KB cache. Bayanin mai amfani ba su bayyana yadda ya zama tsarin zaman kansu; tsarin SDK na yau da kullun shine 1.2 GHz. Tsarin tashin kuma yana bada aiki mai zuwa A7 da kuma kuma yana bada aikin maimakon wani aiki mai zuwa MCU. A lokacin damu, A7 zai iya karewa kuma kuma MCU ne zai kashe da aiki. Kwalitas yana taka kafin tsarin koyaushe. |
Ya tsaya da AOV tsarin damu da kuma kawo aiki mai zuwa wanda ke haɗawa tsarin koyaushe da kuma rukuni na batiri. |
NPU |
Matsayin koyaushe na neural-network wanda ke haɗawa tsarin INT4, INT8, da INT16 da kuma tsarin koyaushe daga TensorFlow, PyTorch, Caffe, TFLite, da ONNX-NN. Tsarin koyaushe na teori shine 1 TOPS. Tsarin koyaushe na yau da kullun shine 0.5 TOPS a RV1106G2, amma RV1106G3 zai iya kawo dukkanin 1 TOPS. Tsarin koyaushe na yau da kullun yana taka kafin koyaushe na batiri, tsarin koyaushe, da kuma koyaushe na model. |
Yana aiki ga local edge AI don fahimta mai suna, fahimta abu, da fahimta fasaha. Hardware acceleration yana kara gaba daya na CPU kuma yana cire bukatar cloud computing. |
ISP |
Hardware ISP da biyu MIPI-CSI/LVDS inputs da kuma DVP input, wanda ya taimaka suka yi amfani da uku kameru. Aikin fahimta taswira yana kuma HDR-MGE, 3DNR/2DNR, 3A, LSC, defogging, da correction na distortion. RV1106G2 yana taimaka suka yi amfani da 5M@30FPS. RV1106G3 da RV1106 yana taimaka suka yi amfani da 8M@15FPS. Frame rate yana daga cikin bandwidth, consumption na kwambo, da encoding path. |
Yana gyara taswirai a lokacin da aka samu lighting mai yawa kuma yana bayarwa taswirai na YUV mai kyau don encoding da AI inference, wanda yana kara gaba daya na software image-processing. |
VENC Video Encoder |
Hardware encoding engine wanda yana taimaka H.264 High Profile, H.265 Main Profile, da JPEG, da shida uku na rate-control da maximum bit rate na 60 Mbps. RV1106G2 yana taimaka 5MP a 30 FPS; RV1106G3 da RV1106 yana taimaka 8MP a 15 FPS. JPEG capture yana taimaka 4MP a 60 FPS, da multiple output streams. |
Kamprishin na hanyar kafa ya ba CPU maimakon gaba daya don ayyukan amfani da al'adu, kamar duba mai sauƙi na kudawa biyu ko ɗaya, rubutun cikin wajibi, da saukin bayanai na ayyuka. |
RKIVE Na'urin Al'adu na Wajibi na Kudawa |
Na'urin kafa ta hanyar kafa ta musamman don fahimtar kudawa, ta hanyar GMM, Canny, CCL, optical-flow, filtration, da operators na morphology. Fasahar yadda kudawa ta yi kuzari da fasahar abubuwan da suka zuba a cikin kafa, kuma yana yi amfani da CPU ta yawa kara. Yadda kudawa ta yi kuzari ta dace da yadda ISP ta bayyana kudawa. |
Ya shigar da fasahar canji na al'adu da fasahar abubuwan da suka zuba a cikin kafa, kuma ya rage yadda CPU ta yi amfani da bayanai na canji na kudawa a lokacin AOV ta da yawa kara amfani da kwamfutu. |
Sisitemin Bayanai |
RV1106G2 ya shigar da 1Gb (128MB) DDR3L a cikin SIP.
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SIP solution ta kusanta abubuwa na DDR na gaba da kuma kuskuren da alama na PCB, wanda ke haifar da kuskuren da BOM cost. Version na BGA ta kuskuren da kuskuren da alama na kamera da kuma kuskuren da alama na gida na kuskuren da alama na gida na kuskuren da alama na gida. |
Kwamfutawa na Kwamfuta |
Matsayi na karamin yadda ake amfani da shi da kuma karamin yadda ake ci gaba da suka zama ƙarfi na karamin yadda ake amfani da su da karamin yadda ake ci gaba da su. Bayanin karamin yadda ba su bayyana karamin yadda ake amfani da su. Bayanin inggantun sun nuna cewa yana da karamin yadda ta 500 mW wanda ke amfani da su daga karshe kuma 40 mW wanda ke aikata a cikin AOV. Bayanin na farko na 0.8 W da 0.1 W zasu kasance bayanin na inggantun wanda suka taka a cikin karamin yadda na karamin yadda na karamin yadda. |
Ya sa aikata aikin amfani da lithium-battery da solar-powered products kuma ya sa aikata aikin karamin yadda ake amfani da su da karamin yadda ake ci gaba da su don karamin yadda ake amfani da su da AOV. |
Kunshin |
RV1106G2/G3 yana amfani da 12.3 x 12.3 mm QFN128 package wanda ke cikin 0.35 mm pin spacing kuma MSL3 rating. RV1106 yana amfani da 14 x 11 mm BGA313 package wanda ke cikin 0.6 mm ball spacing. QFN heat dissipation yana daga cikin complete grounding na bottom E-PAD. BGA yana ba da greater peripheral expansion, amma QFN yana compact amma yana da less thermal headroom. |
RV1106G2/G3 suna da kyau don compact products kamar doorbells da small battery cameras. RV1106 yana da karami ga expandable multi-camera designs. Hardware layout ya kamata ya ba da proper grounding da heat dissipation. |
All-day operation with long standby time ya tsara a AOV (Always on Video), multiple isolated power domains, da fast wake-up mechanism. Hardware design zai iya amincewa da chip's absolute maximum ratings da recommended operating conditions.
Yanayin AOV da Kaza-in Fasaha na Yadda Aiki: AOV yana amfani da kaza-in fasaha mai ƙarfi da kaza-in fasaha mai yawa wanda ake amfani da shi don gano abubuwa da suka hada da AI domin samun sauyin kaza-in fasaha na kayan aiki da bateri. A lokacin da kayan aiki ke cikin halin rufe, MCU yana nuna sensor da image buffer, amma Cortex-A7 da NPU suna cikin halin rufe mai ƙarfi. Kowace yanki na bateri wanda ke bukatar aiki ne kuma yana cikin halin rufe, wanda ke ba da kaza-in fasaha da kaza-in fasaha na 1 FPS. Idan mutum, otu, ko wani abu ya daga cikin wadanda suka hada da AI, hardware interrupt yana rufe kayan aiki daga halin rufe da yana canza halin aiki zuwa kaza-in fasaha na farko da AI inference.
Yanayin Aiki |
Halin Gaba'aya |
Matsayin Kwamitin |
Kwamfutocin Bateri (5200mAh) |
Rufe AOV |
RISC-V MCU yana aiki; A7/NPU suna cikin halin rufe |
Takamaiman 40 mW (bayani na ingantacciyar) |
Takamaiman 14 rana ba tare da rayuwa (bayani na prototype) |
Rufe Na Abubuwan Da Su Ka Hadu |
A7/NPU yana aiki da kaza-in fasaha na farko da kaza-in fasaha na farko |
Kudin kari na gaba |
Ya zama tare da yadda yawa na kuma aiki |
Kira mai tsayi |
Duk wani daga cikin mawallidin suka biya |
Kudin kari na gaba |
An fada amfani da kudin kari na gaba |
Matsayin takamantun shigarwa na widiyo:
Bayan image preprocessing, ISP ya bayyana YUV data. VENC ya danganta dukkanin shidda (6) na rate-control wanda aka bayyana a datasheet.
Options na boot storage: SPI Flash, eMMC 4.51, da SD/MMC. Firmware zai iya yankarwa ta hanyar USB ko UART.
On-chip memory: 256KB shared SRAM, 8KB PMU-SRAM, 20KB Boot ROM, da 8K-bit OTP.
2 RKNN Toolchain da Model Quantization Deployment: NPU ya danganta mixed INT4, INT8, da INT16 quantization, yayin da RKNN-Toolkit2 ya amfani da model conversion. INT8 ya kawo balance na accuracy da speed, kuma INT4 ya rage size na model. Wani PaddleDetection object-detection rate na 25 FPS shine wani engineering test result. Deployment zai bukata loading na RKNN model a cikin DDR memory pool da kara inference interface ta hanyar C/C++ API.
3 Tsarin Karamin Tashihin Fasahar: Sistemin da aiki ne da OpenCV-mobile mai tsayi karami da ba su da abubuwan da suka cire GUI don gudan yadda da kuma don sao wadanda suka faru. Bayanin tashihin da ake amfani da karamin fasahar da bayanin NPU ya zama mafi kyau don gudan yadda na CPU kuma ya fito ga bukatar kudin kwamfutin da ke cikin wadanda suka faru.
Agogo |
Matsalolin Mafi Kyau |
Kilimin Dukuri ko Abin Da Ake Amfani Da Ita |
Tasharin Iyaka |
Kusurin Hardware |
Sakon Alamarin |
VI + MIPI-CSI/DVP |
MPP SDK |
Kawo alamarin hardware don gudan yadda na kopyan hanyar damar |
Ya tsaya da kara kafin uku alamarin da suka faru. RV1106G2 ya tsaya da kara kafin 5MP a 30 FPS. |
Tashihin Alamarin |
ISP |
Sakamunin da kafa na hardware |
Yi amfani da kafa na hardware don ƙarƙashin hoton kamar HDR da 3DNR |
ISP hardware ta sanya yadda ake amfani da sensoru duna da kuma shi ne da kafin da suka yi amfani da kafa |
Fasahar Larabawa |
VENC |
MPP VENC API |
Sakamunin shaidi na kofin da kafa da kafa na kofin da kafa |
Kofin da kafa ya zama 60 Mbps. |
AI Inference |
NPU |
RKNN-Toolkit2 |
Amfani da kafa na INT4, INT8, da INT16 |
Kayanin yadda ake gano kuma suna da karami ne daga cikin SIP DDR ko kuma daga bayanin DDR na gaba'aya. |
Tsarin Fassara ta hanyar Gani |
Cortex-A7 CPU |
OpenCV-mobile
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Cire kayanin aljebra mai kyau ba su zama babu wani abu da ke so don kara karamin tsarin. |
A cikin yadda AOV ya ci gaban, sanya sarrafa CPU a baya. |
Kayanin hardware: Chip da ke cikakken 10/100M Ethernet MAC da PHY (RMII Interface). SDIO 3.0 interface ta sanya damar gaba'aya na Wi-Fi da Bluetooth, kuma USB 2.0 OTG an cikakken. Kayanin gaba'aya sun haɗa da biyu I2C interfaces, biyu SPI interfaces, shida UART interfaces, da I2S audio interface.
Ethernet yana ba da mabuwa mai tsayi a cikin kofin gaba. Zamu iya fiyade Wi-Fi 6 na gaba daya kuma Bluetooth 5.2 a cikin SDIO don fahimtar tashin wireless mai kyau. Bayani na heartbeat kuma fiyadewar kuskuren da sauri na saurin kuskure su ke kawo rufin network a wajen daga cikin.
Smart Encoding 2.0 shi ne algorizim na software na SDK na farko, wanda ya sanya ayyukan bayani na bit-rate mai ƙara/mai rarraba. A matsayin kuma cikin CBR mai amfani da bit-rate mai sauƙi, zai iya rage yadda ake amfani da bandwidth kuma yadda ake amfani da storage.
Sisitem na audio yana kawo hardware audio codec da ADC na 24-bit na biyu kuma DAC na daya. Yadda ake amfani da signal-to-noise ratio shine 90 dB, kuma yana da taimaka ga input na microphone na differential kuma na single-ended.
Buildroot an amfani da ita don bincika tsarin Linux na embedded, don rage kernel kuma services na application, kuma don taimaka ga firmware na OTA.
Shiip yana da maimakon inganta na hardware na amfani da inganta na kryptografi na hardware wanda ta sanya SHA-1, SHA-256, AES, DES, TDES, RSA, ECC, da algorizamun SM2, kuma ta sanya maki na ƙididdiga mai zuwa aiki da maki na OTP na amfani. TrustZone da secure boot suna da taimaka. Wadannan fasahali suna iya sanya fayilin firmware a cikin kufi, ajiye kyauta na kayan aiki na amfani, da kuma gudun kishin amfani na hardware da software don hankali na amfani a kayan aiki na amfani.

Muhimmancin Gaba'ida |
Saracen da aka fuskantar |
Wadannan suna da kishin muhimmanci |
Kusurin Hardware |
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IPC mai zama ƙarami ko bell na gida mai amfani |
AOV mai zama ƙarami da kuma daga cikin yaki |
RV1106G2
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MIPI-CSI,
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Matsayin 5MP a 30 FPS |
Kamara na bayyanin koda na al'ada |
Kunna mai yawa da kunna mai amfani |
RV1106G3
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MIPI-CSI, UART, GPIO |
Matsayin 8MP a 15 FPS |
Talabata na gida ko talabata na kudin gida |
Talabata na kamarai masu yawa |
RV1106 BGA
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MIPI-CSI biyu
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Yana bukatar rarrabbarin tsarin kudin DDR da yawa |
DMS na gida ko Dashcam |
Aiki a yadda uku da yawa |
RV1106G3 |
MIPI/DVP, Ethernet, USB OTG |
Yadda uku na gida: -20 zuwa 85 C; yadda uku na kudin: <=125 C |
Mun ba RV1106-based PCBA hardware design da customized complete vision solutions, wanda ke kara schematic da PCB design, component selection, low-level driver adaptation, algorithm porting da debugging, da complete-system integration. Don tambayoyin game da chip selection, hardware design, software migration, performance optimization, ko customized projects, sannu mu don technical support: [email protected]
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