Advanced IoT Workshop
14th - 15th October, 2017
The “Advanced IoT workshop” was held at the NUST School of Electrical Engineering & Computer Science on Saturday & Sunday (14th & 15th Oct), 2017. The workshop was intended to provide hands-on experience to students and industry. Air Cdre. Dr. Shahhid Baqar SI(M), project director Air University, graced the occasion as the chief guest. The workshop received good response from students, academics, and industry persons including LMKT, PIEAS, IST, and the number of participants had to be limited to 28 based on the capacity of the lab space. This report summarizes the proceedings of the workshop.
Dr. Zahid Anwar, currently an Assistant professor at SEECS and a renowned researcher in security analytics, systems gave a talk on “Trends in IoT”. Starting off with the learning objectives, He talked about the case study of “water monitoring & management system”. Water system management included water conservation system, water leakage detection, flood warning system, ground water tracking, crop irrigation & water quality. He also explained the use of sensors and displays in IoT. As a case study, he presented a working model of soil moisture monitoring device. The device shows the water content of soil and display it on the OLED screen. He explained the sensors used to monitor the soil moisture, OLED display, I2C communication protocol and modern sensors for the aforementioned case study.
Dr. Khawar Khurshid, Assistant professor/HoD from SEECS gave talk on “Applications of IoT”. His talk was mostly pivoted around the applications of IoT in the fields of medical, agriculture and other industries. He also explained the significance of data/information available after deploying the IoT nodes and sensors. He also related that the constant monitoring & management system of industrial/consumer environments can empower the optimal utilization of resources and save precious resources thus reducing the operational cost.
Engr. Imran Abeel, Lecturer at NUST-SEECS started with the theoretical knowledge required to to understand the choice of appropriate sensors and development boards for an IoT application. After familiarization with the hardware-kits provided to each participant, the software and hardware setup is completed. He delivered lectures on practical understanding of sensors/actuators (LDR, Thermistor, Potentiometer, Ultrasonic, PIR, relay and servo motor) followed by the labs for practice. On second day, He discussed the communication of sensors with cloud along with the data visualization on cloud and mobile.
Group Project Activity
On second day, the students were assembled in groups of 5. Each group was tasked to build a smart IoT project. The projects were then evaluated by the chief-evaluator (Dr. Khawar Khurshid).
After a thorough discussion one project (Pillsy) was selected for the best project. Pillsy project was about a smart medical container that can detect if a patient has taken the medication on time and generate visual/sound reminder for particularly the dementia patients and display medication dosage for the patient.