Raspberry Pi 5 Ant Surveillance System
Budget: $250 – $750 USD
Raspberry Pi 5 Ant Observation System
System Extension Requirements & Feature Specification Document
PRIMARY HARDWARE
DOCUMENT STATUS
Raspberry Pi 5 (Dual Cameras + GPIO)
Final Requirements Review
TARGET INTEGRATIONS
Open WebUI / Python CV / Telegram
This document outlines the confirmed inclusions and optional enhancements for expanding the Raspberry Pi 5
macro-filming and computer vision formicarium monitoring setup.
1. CONFIRMED SCOPE (INCLUDED FEATURES)
FEATURE STATUS Escape Prevention Alert
System
INCLUDED Waste Tracking Features INCLUDED Real-Time Food-Weight
Tracking
INCLUDED Desktop Visual
Dashboard
INCLUDED Daily Health Checks with
Logging
INCLUDED Multi-Formicarium
Tracking
INCLUDED Daily Telegram Summary INCLUDED IMPLEMENTATION DETAILS
Automated breach detection sensors and computer vision
monitoring to immediately notify upon escape attempts.
Computer-vision tracking to identify and log debris/refuse pile
building and disposal patterns within outworld/nest zones.
Integration with micro load cell sensors on feeding platforms to
measure food consumption dynamics continuously.
A live visual user interface on the primary desktop displaying
real-time metrics, telemetry, and camera feeds.
Automated diagnostic routines for camera modules, sensors,
and system processes with structured activity logging.
System architecture expansion to simultaneously monitor and
log activity across a second formicarium / nest unit.
Automated daily status digest, metrics snapshot, and key
alerts dispatched directly to the Telegram updates channel.
2. OPTIONAL / CONDITIONAL FEATURES
FEATURE STATUS Automated Database
Backups
OPTIONAL NOTES & TECHNICAL CLARIFICATIONS
Scheduled background snapshots of sensor metrics,
computer vision logs, and configuration state.FEATURE STATUS NOTES & TECHNICAL CLARIFICATIONS
Custom Macro Lighting
Effects
OPTIONAL Programmable lighting controls for macro imaging. Fully
compatible with Infrared (IR) camera capture pipelines.
Passage Ant Traffic
Analysis
OPTIONAL Narrow-passage motion tracking module (part of the overall
multi-ant computer vision tracking system).
Hardware Compatibility Note: The Raspberry Pi 5 directly accommodates both camera CSI ribbon connections
alongside additional GPIO sensors (load cells, IR sensors, ambient probes) and USB peripheral expansions without
requiring a second Pi controller board.
3. HARDWARE & INTEGRATION SUMMARY
Hardware Layer
•
•
•
•
Host: Raspberry Pi 5
Imaging: 2x Camera modules (CSI / IR support)
Probes: Micro load cells (food weight), escape
sensors
Lighting: Controllable macro/IR illumination
Software & Integration Layer
•
Vision Pipeline: Multi-ant & waste tracking scripts
•
Logging & Diagnostics: Daily health checks +
local logs
• Output Channels: Desktop visual dashboard &
Telegram bot
System Extension Requirements & Feature Specification Document
PRIMARY HARDWARE
DOCUMENT STATUS
Raspberry Pi 5 (Dual Cameras + GPIO)
Final Requirements Review
TARGET INTEGRATIONS
Open WebUI / Python CV / Telegram
This document outlines the confirmed inclusions and optional enhancements for expanding the Raspberry Pi 5
macro-filming and computer vision formicarium monitoring setup.
1. CONFIRMED SCOPE (INCLUDED FEATURES)
FEATURE STATUS Escape Prevention Alert
System
INCLUDED Waste Tracking Features INCLUDED Real-Time Food-Weight
Tracking
INCLUDED Desktop Visual
Dashboard
INCLUDED Daily Health Checks with
Logging
INCLUDED Multi-Formicarium
Tracking
INCLUDED Daily Telegram Summary INCLUDED IMPLEMENTATION DETAILS
Automated breach detection sensors and computer vision
monitoring to immediately notify upon escape attempts.
Computer-vision tracking to identify and log debris/refuse pile
building and disposal patterns within outworld/nest zones.
Integration with micro load cell sensors on feeding platforms to
measure food consumption dynamics continuously.
A live visual user interface on the primary desktop displaying
real-time metrics, telemetry, and camera feeds.
Automated diagnostic routines for camera modules, sensors,
and system processes with structured activity logging.
System architecture expansion to simultaneously monitor and
log activity across a second formicarium / nest unit.
Automated daily status digest, metrics snapshot, and key
alerts dispatched directly to the Telegram updates channel.
2. OPTIONAL / CONDITIONAL FEATURES
FEATURE STATUS Automated Database
Backups
OPTIONAL NOTES & TECHNICAL CLARIFICATIONS
Scheduled background snapshots of sensor metrics,
computer vision logs, and configuration state.FEATURE STATUS NOTES & TECHNICAL CLARIFICATIONS
Custom Macro Lighting
Effects
OPTIONAL Programmable lighting controls for macro imaging. Fully
compatible with Infrared (IR) camera capture pipelines.
Passage Ant Traffic
Analysis
OPTIONAL Narrow-passage motion tracking module (part of the overall
multi-ant computer vision tracking system).
Hardware Compatibility Note: The Raspberry Pi 5 directly accommodates both camera CSI ribbon connections
alongside additional GPIO sensors (load cells, IR sensors, ambient probes) and USB peripheral expansions without
requiring a second Pi controller board.
3. HARDWARE & INTEGRATION SUMMARY
Hardware Layer
•
•
•
•
Host: Raspberry Pi 5
Imaging: 2x Camera modules (CSI / IR support)
Probes: Micro load cells (food weight), escape
sensors
Lighting: Controllable macro/IR illumination
Software & Integration Layer
•
Vision Pipeline: Multi-ant & waste tracking scripts
•
Logging & Diagnostics: Daily health checks +
local logs
• Output Channels: Desktop visual dashboard &
Telegram bot