Anti-Static Wrist Band An antistatic wrist strap, ESD wrist strap, or ground bracelet is an antistatic device used to safely ground a person working on very sensitive electronic equipment, to prevent the buildup of static electricity on their body, which can result in electrostatic discharge (ESD).

Arduino Ek Innovation Kit The Arduino Ek Innovation Kit is complete electronics and IoT starter pack designed for students, hobbyists, and innovators to bring their creative ideas to life. Powered by the Official Arduino UNO EK R4 WiFi, this kit includes a wide range of sensors, actuators, and modules such as the DHT11 temperature & humidity sensor, HC-SR04 ultrasonic sensor, PIR motion sensor, IR proximity sensor, ADXL345 accelerometer, SG90 servo motor, and more. With additional essentials like a breadboard, jumper wires, LEDs, switches, keypad, and resistors, this kit provides everything you need to explore robotics, home automation, AIoT projects, and hands-on STEM learning. Whether you are a beginner experimenting with basic circuits or an advanced maker working on innovative prototypes, the Arduino Ek Innovation Kit is the perfect companion for your journey from concept to creation. What You Will Learn from this Kit? How to program and control the Official Arduino UNO R4 WiFi Interfacing and working with sensors (temperature, humidity, motion, ultrasonic, light, proximity, accelerometer) Building automation projects using relays, buzzers, and LEDs Controlling actuators like servo motors for robotics applications Designing IoT-based projects with WiFi-enabled Arduino Basics of circuit prototyping using breadboards, jumper wires, resistors, and switches Hands-on experience in STEM concepts including electronics, coding, and real-world problem solving

Arduino EK Wifi Starter Kit The Arduino UNO EK R4 WiFi Starter Kit is a versatile beginner-friendly package crafted for electronics prototyping, IoT and embedded applications. At its core is the UNO EK R4 board, which combines a 32-bit Renesas R7FA4M1AB3CFM microcontroller with an ESP32-S3 module for Wi-Fi and Bluetooth connectivity, alongside a 12×8 programmable LED matrix. It boasts 256 kB flash, 32 kB SRAM, 8 kB EEPROM, a 14-bit ADC, DAC channels and CAN bus interface. Code uploads in seconds over USB-C, while onboard regulators accept 6–24 V inputs. The kit includes a 400-tie-point solderless breadboard, 220 ? resistor, active buzzer, DHT11 humidity/temperature sensor, male jumper wires and five 5 mm LEDs (red, green, blue, white and yellow). These components let you build weather stations, alarm buzzers and interactive displays. Compatible with the Arduino IDE and C/C++ libraries, it’s ideal for students, makers and educators seeking hands-on learning and rapid prototyping. Explore systems, connect cloud services via Wi-Fi and bring electronic ideas to life with this toolkit. Arduino EK Wifi Starter Kit Contains: Original Arduino UNO EK R4 WiFi The board merges a Renesas R7FA4M1AB3CFM (Cortex-M4F) MCU with an ESP32-S3 module for Wi-Fi and Bluetooth. It features a 12×8 RGB LED matrix, 256 kB flash memory, 32 kB SRAM, 8 kB EEPROM and standard digital/analog headers. 220-ohm Resistor A ¼ W carbon-film resistor with 220 ? resistance and ±5% tolerance, perfect for limiting current to LEDs, sensors or buzzers. Axial leads fit snugly into solderless breadboards for quick circuit prototyping and testing. Type-C USB Cable (1 m) Durable 1 m USB-C to USB-A cable delivers 5 V/3 A power and high-speed data transfer. Nylon-braided jacket resists kinks and wear, ensuring reliable connection between your computer and Arduino board. Active Buzzer Module (3.3–5 V) Compact piezo buzzer with built-in driver, operating from 3.3 V to 5 V logic levels. Mountable PCB module includes transistor switch and resistor, enabling direct GPIO control for alarms, tones and notifications. 400-Tie-Point Solderless Breadboard Reusable prototyping board offering 400 tie points in a 0.1? pitch layout with continuous power rails. No-solder design allows rapid insertion of ICs, resistors, LEDs and jumper wires for flexible circuit assembly. DHT11 Humidity & Temperature Sensor Module Digital sensor module measuring 20–90% RH humidity (±5% accuracy) and 0–50 °C temperature (±2 °C accuracy). Uses a single-wire communication protocol and includes pull-up resistor and header pins for breadboard use. Male-to-Male Jumper Wires Set of 20 Dupont cables, each 20 cm long with 0.1? pitch male connectors. Flexible silicone insulation rated for 300 V/3 A makes them ideal for reliable connections on breadboards, sensors and modules. 5 mm LEDs (Green, Red, Blue, White, Yellow) Pack of five diffused-lens LEDs (5 mm diameter) with forward voltages of 2.0–3.3 V and 20 mA operating current. Long-lead anode and short-lead cathode simplify orientation in prototype circuits. List of Projects that can be with the Arduino EK Wifi Starter Kit WiFi Weather Monitor Smart Temperature Alert System Local Temperature Display WiFi LED Controller (IoT) Temperature-Triggered Alarm IoT Humidity Logger LED Blinker with Web Control Visual Environment Indicator

Automatic Table Top Touchless Sanitizer Dispenser The automatic tabletop sanitiser dispenser designed to fully replace the traditional soap machine. It comes with an intelligent Infrared motion sensor that detects the motion of the hand and drops liquid soap or sanitiser using the anti-drip system. The anti-drip system prevents unnecessary dripping of the soap so that you do not have to wipe any spilt liquid. It uses high-level anti-leakage and waterproof technology to prevent the soap from corroding the circuit. It has a large opening, hence it is easy to refill and is very ideal for liquid soaps, lotions and sanitisers. The infrared motion sensor is precise and has a PIR sensing technology that detects the hand when you put it under the sensor and will automatically dispense liquid soap. This touchless Sanitiser Dispenser is a great asset and safe device that can be used during COVID-19 times. Since it is touchless, it is safe and reliable and any possibility of germ transfer is cancelled.

Backpack Battery Operated Sprayer The Backpack sprayer is designed for light to moderate spraying for different applications in agriculture, sanitizing, farming, gardening and horticulture. The sturdy knapsack sprayer is compatible with commercial fertilizers, weed killers, pesticides etc. The large filler opening at the top makes it easier and convenient for cleaning. This sturdy sprayer is compatible with most commercial liquid fertilizers, weed killers, pesticides, herbicides & fungicides. It is also ideal for spraying water up in indoor and outdoor areas. The large filler opening at the top and the filter makes for easy use and cleaning.

BMP180 Pressure Sensor Module BMP180 Digital Barometric Pressure Sensor Module compatible with Arduino will Measure the absolute pressure of the environment using a digital barometer such as this has some interesting applications. By converting the pressure measured into altitude, you have a reliable pressure sensor for determining the height of your robot, plane or projectile! Using a sensor as capable as the BMP180 you can achieve an accuracy of 1m, with the noise of only 17cm in ultra-high resolution noise. The device will operate at the only 0.3uA meaning low current draw for battery-powered applications. The BMP180 comes fully calibrated and ready to use. As the device operates over I2C we’ve added optional I2C pull-ups that can be enabled using the PU (pull up) jumper on the board for your convenience and ease during breadboarding. Using I2C, the device provides pressure and temperature as 16bit values, which are used along with calibration data within the device are used to provide a temperature compensated altitude calculation. check out : BMP180 Pressure Sensor Module (Pack of 25)

BMP180 Pressure Sensor Module BMP180 Digital Barometric Pressure Sensor Module compatible with Arduino will Measure the absolute pressure of the environment using a digital barometer such as this has some interesting applications. By converting the pressure measured into altitude, you have a reliable pressure sensor for determining the height of your robot, plane or projectile! Using a sensor as capable as the BMP180 you can achieve an accuracy of 1m, with the noise of only 17cm in ultra-high resolution noise. The device will operate at the only 0.3uA meaning low current draw for battery-powered applications. The BMP180 comes fully calibrated and ready to use. As the device operates over I2C we’ve added optional I2C pull-ups that can be enabled using the PU (pull up) jumper on the board for your convenience and ease during breadboarding. Using I2C, the device provides pressure and temperature as 16bit values, which are used along with calibration data within the device are used to provide a temperature compensated altitude calculation.

CJMCU-103 Rotary Angle Sensor Potentiometer Module The CJMCU-103 is a rotary angle sensor module that measures the angular position of a shaft or other rotating object using a potentiometer. A potentiometer is a sort of variable resistor that can be used to measure a shaft's location by altering the resistance as the shaft rotates. A potentiometer is commonly attached to the shaft, and an integrated circuit (IC) turns the potentiometer's resistance into a voltage or digital signal that can be read by a microcontroller or other device. The CJMCU-103 is a low-power, compact device with a wide range of system integration options. It can be used to calculate the angle of a steering wheel, regulate the movement of a robot arm, or detect the angular location of a motor shaft. MCU-103 Rotation Angle Sensor has a dustproof design that protects the interior from dust, which maintains stable performance. It is compatible with high peak lead-free soldering. temperatures. Applications: Used in Switch for automotive, Motor drive unit, Radio control equipment, Electric motor-driven bicycle, etc

Coral USB Accelerator The on-board Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power-efficient manner: it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power-that's 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection. This allows you to add fast ML inferencing to your embedded AI devices in a power-efficient and privacy-preserving way. Models can be developed in TensorFlow Lite and then compiled to run on the USB Accelerator. Features Performs high-speed ML inferencing: High-speed TensorFlow Lite inferencing with low power, small footprint, local inferencing Supports all major platforms: Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10 Supports TensorFlow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE Supports AutoML Vision Edge: easily build and deploy fast, high-accuracy custom image classification models at the edge. Compatible with Google Cloud Application AI-enabled NVR system If you are planning to use Coral USB Accelerator for Home Assistant of home automation applications, we recommend Odyssey Blue, an Intel Celeron J4125 powered X86 Windows/Linux mini PC, you can set them together with ip cameras for a local AI processed NVR system. Frigate is a completely open source and local NVR designed for Home Assistant with AI-powered object detection. It uses OpenCV and Tensorflow to perform real-time object detection locally for IP cameras. It brings a rich set of features including video recording, re-streaming, and motion detection, and supports multiprocessing. Code examples and project tutorials to build intelligent devices with Coral Object tracking with video This example takes a camera feed and tracks each uniquely identified object, assigning each object with a persistent ID. The example detection script allows you to specify the tracker program you want to use (the Sort tracker is included). Image recognition with video Stream images from a camera and run classification or detection models with the TensorFlow Lite API. Each example uses a different camera library, such as GStreamer, OpenCV, PyGame, and PiCamera. PoseNet pose estimation with video Use the PoseNet model to detect human poses from images and video, such as locating the position of someone’s elbow, shoulder, or foot. System requirements A computer with one of the following operating systems: Linux Debian 10, or a derivative thereof (such as Ubuntu 18.04), and system architecture of either x86-64, Armv7 (32-bit), or Armv8 (64-bit) (Raspberry Pi is supported, but we have only tested Raspberry Pi 3 Model B+ and Raspberry Pi 4) macOS 10.15, with either MacPorts or Homebrew installed Windows 10 One available USB port (for the best performance, use a USB 3.0 port) Python 3.5, 3.6, or 3.7

DB9 Male Straight Connector The most common type of electrical connector is the DB9 male Welded Connector. The D-sub miniature (D-sub) connector plug and socket family for computer and communication devices includes the DB 9 connector. DB-9 pins are organized in two-row rows, with one five-pin row above a four-pin row. The EIA/TIA 232 serial interface standard determined the function of all nine pins as a standard so that multiple companies could design them into their products, and DB9 connectors are designed to work with it. DB9 connectors were widely used for serial peripheral devices such as keyboards, mice, joysticks, and so on. They are also used for data connectivity in DB9 cable assemblies. check out : Male to Male DB-9 Cable Features: Solder cup configuration for longevity. Nickel-plated terminals. Gold plated pins and Good quality.