Sensor DAQ - Accelerometer
Sensor/ DAQ
Accelerometer
Build smart, real-time accelerometer systems with Python integration, edge processing, and flexible wireless connectivity for seamless deployment across industries.
Accelerometer & IoT Devices
Accelerometers are essential motion sensors that detect acceleration, tilt, vibration, and orientation. At Krishworks, we help developers and businesses build intelligent systems by integrating accelerometers with Python and IoT devices—bringing motion to life.
Our custom-built solutions empower real-time data acquisition, smart automation, and analytics at both the edge and cloud level.
Applications Across Industries
Krishworks accelerometer solutions are tailored to meet the needs of diverse industries. Below are high-impact use cases that leverage real-time detection + intelligent processing:
Wearables & Healthcare
- Activity tracking (steps, posture, sleep)
- Fall detection for elderly care
- Gesture-based control for assistive tech
Smart Transportation
- Vehicle orientation monitoring (tilt, pitch)
- Crash impact detection and emergency response
- Anti-theft vibration detection
Industrial Automation
- Vibration monitoring in heavy machinery
- Predictive maintenance based on acceleration anomalies
- Equipment balance and motion control
Robotics & Drones
- Orientation sensing and stabilisation
- Flight motion tracking
- Collision detection and avoidance
Consumer Electronics
- Smartphone auto-rotation and shake detection
- Game controllers and AR devices
- Touchless gesture-based inputs
How Data Acquisition Happens
Accelerometer sensors continuously capture motion by detecting dynamic changes across three axes (X, Y, Z). These physical movements are converted into digital signals, processed by embedded microcontrollers, and wirelessly transmitted using IoT protocols such as LoRaWAN, Bluetooth, or Wi-Fi.
The collected data is transmitted to a secure cloud platform or an on-premise server, where it can be analyzed, visualized, and transformed into actionable insights. Real-time dashboards and intelligent alerting systems ensure that you receive critical information precisely when it’s needed most.
Peripheral Integration
The accelerometer sensor excels when integrated with other IoT devices and platforms. Acting as a core component of a broader sensor ecosystem, accelerometers seamlessly interact with peripherals to deliver enhanced operational intelligence. Key integration features include:
Temperature and Humidity Sensors for holistic environmental monitoring
GPS Modules for location-based insights
Edge Computing Devices for low-latency, real-time processing
These integrations ensure smooth communication, reliable interoperability, and flexible deployment. Krishworks supports standard APIs and protocols to make integration with your existing systems simple and scalable—accelerating your path to deployment.
Our Capabilities
Krishworks offers end-to-end accelerometer integration services, including:
Sensor selection & calibration
Expert assistance in choosing the right accelerometer and fine-tuning it for optimal performance across environments.
Python firmware development
Custom Python scripts and libraries for efficient sensor communication, data handling, and control logic.
Edge computing integration
Deploy on-device analytics using microcontrollers and single-board computers like Raspberry Pi or ESP32 for real-time responsiveness.
Cloud-based data pipelines
Seamless data transmission to cloud platforms using MQTT/HTTP, enabling remote monitoring, storage, and advanced analytics.
Custom UI/dashboard integration
Build intuitive dashboards and visualization tools for real-time sensor data insights and decision-making.
Machine learning model deployment (e.g., activity recognition)
Implement AI at the edge or in the cloud for intelligent motion detection, anomaly alerts, and predictive analytics.
Protocol translation & multi-sensor fusion
Enable interoperability with various industrial systems by supporting Modbus, CAN, and other protocols—allowing accelerometers to work with GPS, environmental, and pressure sensors in unified ecosystems.
Use Case: Healthcare Monitoring for the U.S. Federal Prison System
Krishworks implemented an advanced accelerometer-based solution as part of a smart healthcare monitoring system for the U.S. Federal Prison System. This system was designed to track the physical activity and vital parameters of prisoners in custody—ensuring safety, compliance, and real-time supervision.
The solution integrates multiple onboard sensors, including:
- Accelerometers for motion and movement tracking
- Gyroscopes for orientation sensing
- Heart rate monitors for vital sign measurement
- Tamper detection modules for security compliance
All components are embedded within smart handcuffs, creating a compact yet powerful wearable monitoring unit.
A Flutter-based mobile application communicates with the device via Bluetooth and enables:
- Real-time alerts to prison monitoring officers during unusual movement or tampering attempts
- Seamless sensor data streaming and visualization
- Improved safety protocols and incident response
This accelerometer-driven system showcases Krishworks’ expertise in sensor fusion, low-power edge computing, and secure mobile connectivity for mission-critical environments.
Project
Custody Protect
Wearable gadgets to monitor the Heart Rate, Accelerations, Magnetometer, Gyro of US prisoners under arrest were developed to prevent custody deaths.
FAQs
Have Questions? We’re here to help.
Krishworks supports a wide range of digital accelerometers, including ADXL345, MPU6050, LIS3DH, and others, using I2C or SPI communication protocols.
Yes, Krishworks enables real-time data streaming using MQTT or HTTP protocols to cloud platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT.
Absolutely. Krishworks offers deployment of lightweight machine learning models on edge devices such as Raspberry Pi or ESP32 to enable on-device activity recognition, anomaly detection, and motion classification.
Yes, Krishworks provides integration with real-time dashboards and data visualization platforms such as Grafana, Node-RED, or custom-built interfaces to monitor live sensor telemetry and trends.
Hardware/PCB design & addon services
