OpenCollar Dashboard
OpenCollar solutions are modular trackers built to be used in most advanced nature conservation use-cases, pushing the technology further and enabling new applications. Overall design is based on a single electronics solution and single firmware solution, which are then configured into full or partial feature implementations. The design choices are to be made such that simplicity is favored over complexity to allow for a minimal barrier to entry for forking or modifications.
Priorities
Very good user experience and reliability
System simplicity
Re-usability and community support
Electronic system solutions
Solution | Status | Progress |
Lion tracker basic | Production | |
Rhino tracker basic | Production | |
OpenCollar tracker advanced | Concept |
Hardware implementations (2020)
Product | Description | Status |
LionPCB | Current Lion solution | |
RhinoPCB | Current Rhino solutions | |
PangolinPCB | Current Pangolin tracker | |
New product | ||
RhinoEdgePCB | New product | |
ElephantEdgePCB | New product |
Products (2020)
Product | Version | Content |
Wisent tracker | WisentEdgePCB + belt + drop-off | |
Rhino edge horn implant | RhinoEdgePCB | |
Rhino edge skin implant | RhinoEdgePCB | |
Elephant edge tracker | ElephantEdgePCB | |
Industrial edge tracker | ElephantEdgePCB + AvnetIOTconnect |
Milestone | Timeline | Status |
M1 WisentEdge tracker initial prototype development with LR1110 with the basic set of features | 6w | |
Test: IRNAS field testing | ||
M2 WisentEdge tracker fully-featured device ready for deployment | 4w | |
Test: SmartParks field testing | ||
M3 RhinoEdge tracker initial prototype development with LR1110 with basic set of features | 4w | |
Test: IRNAS field testing | ||
M4 RhinoEdge tracker development of Horn and Skin implant | 4w | |
Test: SmartParks field testing | ||
M5 RhinoEdge tracker Horn and Skin implant RF tuning and optimization | 4w | |
Test: PeaceParks field testing | ||
M7 Consolidation of technology across all solutions
| 6w | |
OpenCollar tracker advanced
OpenCollar tracker advanced is the evolution of the Lion tracker with additional new features and a solution for long term evolution. Particular hardware implementation of the solution may add or remove various features.
Feature | Description | Status | Milestone |
Enables the tracker to be connected via BLE to smartphone and configured via an application. Enables reading logged data and configurations. Enables DFU firmware upgrade | M1 | ||
LoRaWAN connectivity for low power long-range communications, the primary means of data transmission | M1 | ||
Special case LoRaWAN connectivity to Lacuna satellite network with an additional antenna for this application | TODO | M6 | |
Low-power GPS acquisition for real-time tracking, implemented with LR1110 | M1/M2 | ||
Standard GPS receiver enabling high-precision real time tracking, almanac updating and other advanced features. Used sparsely to conserve power | M1 | ||
WiFi receiver in LR1110 to implement beacon scanning to detect nearby WiFi hotspots for positioning | M3 | ||
Low-power VHF transmitter for legacy animal tracking applications, implemented with LoRaWAN transceiver LR1110 | TODO | M2/M4 | |
3 axis accelerometer to detect orientation and motion, triggering events based on results | M1 | ||
Monitoring of battery status | M1 | ||
Charging input if used with rechargeable batteries, enables precise voltage monitoring of the input voltage 5-30V DC | M2 | ||
Support for expansion sensor modules for example high voltage fence monitoring or other solutions (I2C+GPIO port) | |||
Memory to store measurements over a longer period of time | M2/M4/M6 | ||
BLE LoRaWAN message communication | Send a short message from the APP via BLE via LoRaWAN and receive it back | TODO | |
PAX counter | Enable monitoring of BLE, WiFi to determine proximity of humans | TODO | M2 |
Device-to-device proximity | Determine the proximity between two trackers to trigger actions on separation or contact. Implement with LoRa | TODO | M4 |
EdgeImpulse support | Machine learning EdgeImpuls sensor data processing and evaluation + Smartphone app for training and user workflow | TODO | M6 |
IMU support | 9 axis IMU | M6 | |
Microphone | On-board microphone to record sounds and use in conjunction with EdgeImpulse | M6 | |
Avnet IoT connector | Connection with the platform | TODO | M6 |
Detect nearby cell-phone activity based on the RF input of LR1110 with advanced algorithms analyzing the data | Idea | HackThePoacher |
Expansion modules are standalone units without processing that add extra features to the system:
Expansion module | Description |
Drop-off controller | Drop-off controller implements necessary features to control mechanics of the drop-off mechanism, such that the trackers can detach. |
HV fence monitor | High-voltage monitoring interface to monitor the electric fences |
Marine monitor | Pressure sensor, salt water switch and other sensors |
Biosensors | Sensors to monitor body temperature, heart-rate.... |
Camera | Camera to acquire images |
Milestones firmware
Milestone | Due date | Deliverable |
Milestone FW1 | 28.08. | |
Milestone FW2 | 19.10. | Basic device ready for field testing |
FW1 Sprints | Due date | Deliverable |
S1: Low-power DFU upgradable NUS firmware on nRF52840
| 31.07. | Codebase with BLE features on new SDK (NCS1.3.0) |
S2: config and drivers:
| 07.08. | Device configuration and driver code |
S3:
| 14.08. | Device with basic main logic and connectivity |
S4: main logic and testing (vid, vojislav, eva) | 21.08. | |
S5: testing (vid, vojislav, eva) | 28.08. |
FW2 Sprints | Due date | Deliverable |
S1: HAL operation and settings
| 05.10. | Device working in low power mode with basic tracking and settings (set GPS interval via BLE and LoRaWAN) send data over LoRa and be low power. |
S2:
| 19.10. | Device ready for customer field testing |
Milestones hardware
Milestone | Description | Status |
Upgrade of existing lion tracker with new cpu and lora module | ||
TBD milestones |
Last updated