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![Key Challenges
Source: https://iot-analytics.com/implementing-iot-technology-6-things/
Indeed the biggest challenge is to educate
farmer how to run the caXle-farm with tech
R&D took 10 months, deployment may take
2-4 weeks, suppo[ is subscription-based
Nu[ure the team and skill in-house, keep
improving.
Relies on built-in security features and best
practices within connectivity protocols,
]rmware SDK, and cloud pla_orm
Implement open standards as many as
possible
Implement ]rmware over-the-update (OTA)
from the day one
In case of SMARTernak:](https://image.slidesharecdn.com/asktheexpert-indosat-andriyadi-190302004825/75/Ask-the-Expert-Internet-of-Things-58-2048.jpg)
Uploaded byAndri Yadi
Ask the Expert: Internet of Things
The document introduces Andri Yadi, co-founder of Dycodex, discussing the company's focus on developing IoT and AI-based systems in Indonesia, particularly in agriculture and asset tracking. Dycodex's products, like Smarternak, aim to enhance cattle farming through technology, featuring integrated health monitoring and environmental sensing capabilities. The document also outlines the technical considerations and challenges in implementing IoT solutions, emphasizing the importance of education and support for farmers in utilizing these technologies.
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Ask the Expert: Internet of Things
- 2. I’m not anExpert I just started it earlier :) Disclaimers
- 3. IoT Development Use cases,tips, thoughts Indosat, Jakarta - Feb 28, 2019
- 4. Andri Yadi Co-founder &CEO of DycodeX Vice President, Indonesia IoT Association a (at) dycodex.com | http://andriyadi.com I’m a Physicist, Developer, Maker, Entrepreneur 20 years in soFware engineering 21 years in electronics engineering 3 years in aeronautical engineering 14 years in entrepreneurship 11 years as MicrosoF Most Valuable Professional (MVP) 3 years as Hackster.io Ambassador About Me
- 5. PT. DycodeX TeknologiNusantara DycodeX’s vision is to solve big problems with technology. Today, we're pioneering and leading in developing end-to-end home-grown IoT & AI-based systems in Indonesia, and enable maker movement along the way. About Us As seen on
- 6. Home-grown IoT &AI-powered devices & systems SecurityAgricultureAsset tracking Energy Design House SMARTernak Panic Button PowtraX Electricity metering & reselling system Smarterbike: Smarter bicycle for bike fleet management (bike sharing) DytraX: NB-IoT/Cellular Asset Tracker Hardware Kits for Education, Makers Custom hardware design End-to-end IoT development: firmware, cloud, AI, web & mobile app DycodeX’s Products & Solutions Focus Industrial IoT Machinery Health Sensor Alora Industrial Environmental Sensing
- 7. Hardware Kits forEducation & IoT MakersWe also make And a lot more….
- 8. In-house All products’electronic board is designed & assembled, also firmware is developed in-house by 100% Indonesian, in Indonesia
- 9. OK, let’s getstarted…
- 10. IoT is NOTjust some internet-connected devices, and monitor-able/controllable from smartphone, like “smart lamp” So what is it? But first, what is Internet of Things (IoT)?
- 11. Sensor Explaining “Thing” usingHuman Analogy Actuator Internet of Things Signal Signal Control Skin receptors
- 12. Sensor Explaining “Thing” usingHuman Analogy Actuator Internet of Things Signal Signal Control Skin receptors Reflexive
- 13. Signal Signal Reflexive Internet ofThings “Thing” reflex Gas Sensor AlarmMicrocontroller If gas sensor senses that certain gas/smoke concentration above predefined threshold, reflexive system (Microcontroller) will trigger alarm right away, without first sending the data to the cloud (higher computation) to analyse
- 14. Sensor Explaining IoT usingHuman Analogy Actuator Internet of Things Signal Signal Reflexive Skin receptors Conscious
- 15. Sensor Explaining IoT usingHuman Analogy Actuator Internet of Things Signal Signal Reflexive Skin receptors Conscious Cogitative
- 16. Sensor Actuator Internet ofThings Signal Signal Reflexive Skin receptors Conscious Cogitative
- 17. Sensor Actuator Internet ofThings Signal Signal Reflexive Skin receptors Conscious Cogitative Realtime (LOCAL, automation) Thing NonRealtime CLOUD (High Computation)
- 18. Data Data Reflexive Conscious Cogitative CLOUD (High Computation) NonRealtime Realtime, Local SensorActuator Connectivity/networking Thing Internet of Things
- 19. Data Data Reflexive Conscious Cogitative CLOUD (High Computation) NonRealtime Realtime, Local SensorActuator Current Trend: Edge Intelligence Connectivity/networking Thing The conscious or “thinking” part of the cloud now moves closer to or inside the Thing/device
- 20. “Network of physicalobjects with embedded electronics, software, connectivity, and people to enable exchanging data, for “smart” applications and services„ So, what is Internet of Things?
- 21. Let’s put itinto practice
- 22. * “Ternak” inSMARTernak means “cattle” in Bahasa Indonesia Internet of Things & Artificial Intelligence-based Cattle-Farming Assistant 20 First, let me introduce… DycodeX’s
- 23. SMARTernak - 1,000mViewSMARTernak: How It Works BASE STATION 5 km coverage, 1000+ devices. TRACKER Catte-wearable tracker contains a bunch of sensors ENVIRONMENTAL SENSORS Collection of sensors to monitor environmental *optional* FARM MANAGER / OWNER / INVESTOR http://smarternak.com by DycodeX VIRTUAL FENCE Contain and move cattle without physical posts and wires. CLOUD where the heavy-lifting happens. CARETAKER One farmer/caretaker can easily cover a vast grazing area and hundreds of cattle.
- 24.
- 25. Dual IoT Connectivity ShortRange, Mesh-supported: 1 km WiFi, Bluetooth v4.2, BLE Long Range: LoRa/LoRaWAN or NB-IoT Packed with Sensors GPS / GNSS Accelerometer, Gyroscope Body Temperature Ambient Temperature & Humidity Barometric Pressure Ambient Light MEMS Microphone Device Removal Detector Powerhouse Low Power, Dual Core Microcontroller Smart Energy Battery Gauge Solar Energy Harvesting Smart Switching Between Main & Backup Battery Firmware-optimised power consumption Cattle-wearable Device Actuators Audio Alert/Speaker Color LED
- 26. In-House Electronics board is100% designed and assembled in-house, by 100% Indonesian Internals
- 27. Variants & Features forExtensive Farming SMARTernak Tracking Track location & behaviour Herd counting Virtual fencing Monitor & alert health issues Estimate weight Learn behaviour (feeding, standing, walking, etc) Monitor environmental condition for Intensive Farming SMARTernak Health
- 28. Local Reflex GPS/GNSS sensor Latitude Longitude Speed Direction Time SpeakerMicrocontroller Islocation (lat, long) still INSIDE the virtual fence If NO, trigger high pitch sound to herd cow back to virtual fence Collection of coordinates that forms a virtual fence VIRTUAL FENCE Contain and move cattle without physical posts and wires.
- 29. Latitude, Longitude Speed, Direction Bodytemperature Ambient temperature & humidity Ambient light Ambient sound Movement (Linear acceleration, Angular velocity, Direction) Device removal status Battery voltage & capacity Conscious Internet Internet
- 30. Artificial Intelligence onthe Edge Deep Neural Network Motion captured by Inertial Measurement Unit (IMU) sensor inside cattle-wearable device Predicted activity (standing, lying-down, feeding, and more) App IMU sensor Learn & detect cattle behaviours based on sensor data with the help of Artificial Intelligence
- 31. How to startimplementing IoT?
- 32. Do you reallyneed one? Need automated reliable data collecting? Need automated business process? First Thing First Data collected from remote area? Over internet? Do you need prediction or recommendation? What about the value? RoI?
- 33. Are the data measurable? Whatis expected output? Identify Data & Sources Can data be collected in automated fashion, reliably? How big the data size? The format? Which data need to send & store? Data & Sources
- 34. Identify Data &Sources: SMARTernak Expected Output Data Source Data Type Weight Gain Chest circumference Belt stretchiness Feeding Behaviour Neck & jaw movement Linear & angular acceleration Sickness detection Body heat Body temperature Comfort Ambient environment Ambient temperature, humidity, luminosity In-heat detection Movement Body heat Moo sound Linear & angular acceleration Body temperature Sound frequency
- 35. Sensors By what youmeasure (measurand): Magnetic strength, light intensity, sound wave strength By how you measure directly: Voltage, chemical reaction, mechanical displacement By transduction for indirect measurement: Thermoelectric, photoelectric By higher level function: Human gesture, voice recognition
- 36. Identify Sensors: SMARTernak ExpectedOutput Data Source Data Type Sensor Weight Gain Chest circumference Belt stretchiness Capacitive/resistive stretch sensor Feeding Behaviour Neck & jaw movement Linear & angular acceleration Inertial Measurement Unit (IMU) sensor Sickness detection Body heat Body temperature Temperature sensor Comfort Ambient environment Ambient temperature, humidity, Luminosity Temperature & humidity sensor Ambient light sensor In-heat detection Movement Body heat Moo sound Linear & angular acceleration Body temperature Sound frequency IMU sensor Temperature sensor Microphone
- 37. Identify Technology: Thing SensorsMCU/MPU Energy Source Actuators Network Interface Firmware EnclosurePCB
- 38. Thing: Some Considerations(1) Sensor Actuator Brain Energy Source Measurement accuracy Grade: industrial, consumer Power consumption Protocol: digital, analog, OneWire, I2C, SPI, UART Dimension Power consumption Dimension Protocol Microcontroller or Microprocessor Core, clock/speed Peripherals: GPIO, ADC, DAC, I2C, I2C Built-in memory: flash, RAM, ROM Power consumption Dimension Battery or Mains (AC) Battery capacity Energy harvesting
- 39. Thing: Some Considerations(2) Network Interface Firmware Enclosure PCB Power consumption Data rate Coverage/range Programming language, framework, Integrated Development Environment (IDE) Runtime: native, virtualized environment Ingress Protection (IP) rating: IP65: Dust tight, water splash resistant IP67: Dust tight, water immersion resistant IP68: Dust tight, continuous water submersion resistant Material Dimension, weight How many layers Component layout Specific components design guideline Dimension Material: flexible, fire- retardant (FR) Surface mount, through hole
- 40.
- 41. Prototyping Use offthe shelf development boards & modules Iteration, iteration, iteration A lot of it Low volume production Make sure you have to the tooling, find local Makerspaces Mass production, yeay! Find the right partners Deployment & support It’s time to put it all into the hand of users Hardware: Development Process
- 42. Hardware: Developer Skillset COSATeensy Sming Languages Frameworks Tools & IDEs esp-idf
- 43. Hardware: Prototyping ESPectro32 v2NB-IoT Backpack Get one: https://shop.makestro.com/product/espectro32-v2/ Get one: https://shop.makestro.com/product/nb-iot-backpack-pro/ Start prototyping with off the shelf development boards, modules, shields/accessories
- 44. Electronics/PCB design Mechanical design& engineering Material engineering Product design Roboticist Test/Field engineering RF/Network/Connectivity engineering Industrial UI/UX engineering Firmware development AI/Machine Learning (for edge intelligence) Security Hardware: Skillset
- 45. So, in caseof SMARTernak’s Thing, The Tech: Sensors GPS/GNSS, IMU, Body Temperature, Environmental sensors, Microphone, etc MCU/MPU ESP32-based low power Microcontroller ARM Cortex M4 for Edge Intelligence Actuators Color LED, Speaker Network Interface Short range: WiFi & Bluetooth Long range: LoRa or NB-IoT Energy Source Rechargeable Battery Energy harvesting from solar Firmware Developed with ESP-IDF framework using Eclipse IDE X-CUBE-AI PCB 4 layers Enclosure Dust tight, water immersion resistant
- 46. Data Rate Power Range Identify Technology:Connectivity Hint: No connectivity technology that satisfies high data rate, long range, and low power, all in one pack. Need to compromise
- 47. Data Rate Data Ratevs Range Range Short Long Low High
- 48. Data Rate Power Data Ratevs Power Low High Low High
- 49. Power Power vs Range Range ShortLong Low High
- 50. Low Power LongRange LPWA Power Power vs Range Range Short Long Low High
- 51. Need to covervast cattle-farm area, relies on as little gateways/BTS as possible Coverage/Range Data Rate Exchanged data size between device and cloud is in order of bytes. No need for high throughput connectivity Power Devices is powered by a small battery (to reduce size) that should last for months, year if possible In case of SMARTernak’s Connectivity
- 52. Need to covervast cattle-farm area, relies on as little gateways/BTS as possible Coverage/Range Data Rate Exchanged data size between device and cloud is in order of bytes. No need for high throughput connectivity Power Devices is powered by a small battery (to reduce size) that should last for months, year if possible In case of SMARTernak’s Connectivity sounds like a great option!
- 53. IaaS, PaaS, or SaaS? Generalor specific-purpose/ vertical? Where’s the data centre? (To comply with regulation) Programmability, SDKs, libraries, docs? Identify Technology: Cloud Platform Pricing Connectivity & protocol options?Pure cloud, or hybrid (with on- premise) option?
- 54. Azure IoT and a whole lotmore… Cloud Platform: Some Alternatives Google Cloud IoT Oracle IoT
- 55. Azure IoT Offering IoTHub IoT cloud gateway, secure, bi-directional communication IoT Central Experience SaaS for IoT, with no cloud expertise requiredn IoT Edge Extend intelligence from the cloud to the edge devices IoT Solution Accelerators Capture and analyze untapped data to improve business results Azure Digital Twins Create digital replicas of spaces and infrastructure Device Provisioning Service Zero-touch, just-in-time provisioning for Azure IoT Hub Time Series Insights Instantly explore and analyze time-series data Functions Process events with serverless code Event Grid Get reliable event delivery at massive scale Machine Learning Services Build, deploy, and manage machine learning and AI models Machine Learning Studio Easily build, deploy, and manage predictive analytics solutions Stream Analytics Real-time data stream processing from millions of IoT devices Logic Apps Automate the access and use of data across clouds without writing code Notification Hubs Send push notifications to any platform from any back end Azure Sphere Create highly secured, connected MCU-powered devices
- 56. Azure IoT Central AzureIoT Central is a fully managed IoT SoFware-as-a-Service (SaaS) solution that makes it easy to create products that connect the physical and digital worlds
- 57. LoRaWAN Gateway Network Server SMARTernak Cloud (Application Server) Backhaul (Cellular,WiFi, Ethernet) Wearable Devices IoT Architecture Example: SMARTernak Apps LoRa MQTT HTTP, WebSocket Microsoft Azure Trigger + Alert, Ingestion & Storage Visualization Devices & Firmware Mgt. Security Analytics + AI
- 58. Key Challenges Source: https://iot-analytics.com/implementing-iot-technology-6-things/ Indeedthe biggest challenge is to educate farmer how to run the caXle-farm with tech R&D took 10 months, deployment may take 2-4 weeks, suppo[ is subscription-based Nu[ure the team and skill in-house, keep improving. Relies on built-in security features and best practices within connectivity protocols, ]rmware SDK, and cloud pla_orm Implement open standards as many as possible Implement ]rmware over-the-update (OTA) from the day one In case of SMARTernak:
- 59. Yet, it’s exciting time tojump into IoT!
- 60.
- 61. *Disclaimer: I haveno data of all players in Indonesia yet. Sorry if you’re not listed. And I’m talking about electronics maker-related players Join Communities Indonesia I n d o n e s i a Maker4Nation Indonesia
- 62. makestroid makestroid makestroid makestro.com An Indonesia Platformfor Maker: to “democratize” knowledge, hardware kit, and software to help makers to start making in hardware, to drive into Internet of Things Start Making at Learning Hardware Marketplace Software & Cloud Community RIoT is Makestro’s program for nurturing IoT makers, officially supported by Indonesia’s Ministry of ICT
- 63. Andri CEO, DycodeX a (at)dycodex.com or Hire Us
- 64. [email protected] | https://dycodex.com IoT& Maker Movement enabler Jalan Sarikaso No. 6A, Bandung, Indonesia