Ambiq Apollo510B Worker Safety Badge Development Services | Fall Detection & BLE Alerts

Fall Detection Is a Multi-Stage Decision, Not a Single Threshold

An actual fall may consist of quick downward speeds, a crash, an immediate change of direction, and a moment of minimal movement.

However, similar patterns of the sensor may also be observed if the worker puts down the tool bag, jumps from a low step, drops the badge, has a sudden movement in the chair or rides over rough terrain.

This is why the badge was made with a multi-stage detection system instead of one-acceleration signal solution. The firmware analyzed series of evidence:

This rationale minimizes the chances of perceiving every sudden motion as an alarming strike. In addition, it facilitates transparent operation: a dashboard may indicate whether the alarm was triggered manually, automatically, cancelled by the employee, transmitted to the gateway, or acknowledged by the supervisor.

Thresholds are unique and do not hold true for everyone. For instance, a warehouse worker, a field technician, a worker working at a height and a worker being transported will exhibit different motion patterns.

A competent company designs firmware with adjustable detecting parameters and prepares field-testing plans involving representative roles, locations of the devices and activities.

Sensor Fusion and Event-Detection Firmware

The firmware of the Apollo510B badge was structured in a way that it included low-power services, which were able to run alone and recover secure from errors. The IMU, however, operated with interrupt-based sampling whenever necessary, which made it possible for the processor to be in low power state up to the moment the values of interest were obtained.

Sensor fusion combined accelerometer and gyroscope information to estimate motion intensity, orientation transition and stationary conditions. The algorithm maintained short rolling windows instead of storing every sample indefinitely.

It then calculated features such as acceleration magnitude, impact duration, orientation difference, motion variance and post-event inactivity.

The event under consideration received a confidence score. An instance of object movement with no further action taken could be flagged as an incident, but no emergency notification would be sent. The manual pressing of the SOS button may be prioritized and trigger the alerting process. This system will not allow assessment of safety based on a single sensor reading.

The firmware takes into account various conditions of the device. For example, in case the badge indicates critically low battery, a broken IMU, incorrect configuration or repeated resetting, the problem must be communicated.

Failing to do this will put the responsible personnel at risk as they will believe the worker is safe while the device is not operational.

Typical embedded modules included:

• IMU driver and sensor self-test
• Event-driven sampling and timestamp management
• Sensor-fusion and orientation processing
• Fall-candidate and manual-SOS state machines
• Haptic, buzzer and LED controller
• BLE advertising, connection and alert-transfer services
• Local event storage with synchronization status
• Battery measurement and power-mode controller
• Configuration, diagnostics and watchdog recovery
• Secure bootloader and OTA-update readiness

BLE Alerts and On-Site Communication Architecture

Bluetooth Low Energy is an effective option for a badge because it supports small, power-conscious messages to a nearby phone, fixed gateway or site hub. However, BLE range and reliability depend on building construction, metal machinery, people, device placement, interference and gateway coverage. A worker-safety system must plan for those conditions rather than assume a single published range figure.

The badge can use one of several alert paths:

The alert's payload may consist of badge ID, event type, timestamp, confidence degree, battery condition, and the last known zone or gateway location.

When there is RTTLS in the architecture, the location should be displayed with its actual precision level and confidence degree, instead of giving it false claims of accurate GPS positioning.

To be delivered successfully, the delivery must be confirmed. The badge has to log if the alert was generated locally or received by the gateway or acknowledged by the cloud API, and read by the responder.

If a first path fails, the workflow may retry for a defined period or use an available fallback path. These decisions should be agreed with the site's safety team because network retries cannot replace an emergency response plan.

Alert Workflows Built for Human Response

The backend workflow was centered on individuals instead of notifications alone. The fall event detected could initiate an incident card on a supervisor's dashboard, send alerts to designated responders, depict the device and the worker-related information, and keep a record of efforts and responses over time.

A typical workflow could be:

1. Badge detects a possible fall.
2. Badge provides a short cancellation window.
3. If not cancelled, the badge transmits the incident through BLE.
4. Gateway or mobile app forwards the event to a secure API.
5. The platform creates an incident and alerts the assigned safety group.
6. A responder acknowledges the event and attempts contact.
7. The system records the response actions for later review.

The system can be adjusted according to site, time of day, worker category and escalation procedures. For example, the night team may need a different list of responders than the warehouse team does during the day.

Audit information is important for ongoing development work, but access to worker data must be controlled by titles and preserved as per company regulations.

Battery Design and Field Validation

Worker badges require realistic testing of batteries. A gadget that can survive for weeks on a desk can act very differently in real-life conditions such as a lot of movement, Bluetooth Low Energy (BLE) retransmissions, temperature variations, or alert notifications.

We create a current budget model for all activities performed during sleep, sensing, BLE broadcasting, connection events, alert transmission, vibration, buzzer operation, and LED function and validate it on representative hardware.

The test plan can include:

• Normal shift operation
• High-motion and vehicle-motion scenarios
• Gateway coverage gaps and reconnection attempts
• Repeated manual SOS events
• Long inactivity periods
• Low-battery notifications
• Temperature and charging tests
• Drop and enclosure-use testing
• Firmware reset and recovery behaviour

The goal is an evidence-based battery-life target and a defined operational policy for charging, battery replacement and low-battery escalation.