Ratcade: Level 1 — Autonomous Gamified Rodent Enclosure & Kinetic Micro-Grid

An open-source, closed-loop hardware-in-the-loop (HIL) enclosure combining electromechanical automation, edge computer vision (CV) scene direction, and programmatic DeFi execution on the Solana blockchain

---

System Architecture

• 1. Core Hardware Layer
  • Components: 34 Smart Sensors, DC Generator, PWM Overdrive Fan.
  • Data Interface: Local hardware signals route directly to primary microcontroller.
• 2. Main Microcontroller (ATmega328P)
  • Processing: Hardware IO timing, analog state sampling, non-blocking lockout clocks.
  • Telemetry Out: Structured JSON frames transmitted via USB Serial at 115200 Baud.
• 3. Edge Computing Node (Raspberry Pi 5 / NVIDIA Jetson Nano Linux Host)
  • Data Ingestion: Parses serial telemetry frames and multi-camera USB video capture buffers concurrently.
  • Subsystem Route A: OBS Stream Automation — Local WebSockets execute motion-based frame changes.
  • Subsystem Route B: On-Chain DeFi Engine — Rust execution module manages non-custodial RPC block swaps.

---

Level 1 Mission Rules & Resource Economics

The Ratcade architecture enforces an environment of controlled resource scarcity where basic rodent needs are gated behind mechanical tokens and gamified milestones.

• Starting Reserves: The system initializes with a stored energy buffer of exactly 72 Hours within the onboard supercapacitor array.
• Survival Objective: The enclosure's inhabitants must balance intake and harvest kinetic energy to sustain systemic power for 11 Days (264 Hours) continuously without a micro-grid brownout.
• Caloric Control: The dual feeding stations are software-throttled via non-blocking hardware clocks, allowing an execution loop only once every 3 Hours per station.
• Life Support Systems: The high-volume aquarium filtration grid and hydroponic life-support watering lines run continuously, isolated mathematically from behavioral lockouts to guarantee habitat safety.

---

Kinetic Energy Harvesting & Micro-Grid Power Architecture

1. Mechanical-to-Electrical Powertrain

The power plant uses a permanent magnet DC brush generator integrated directly into the core structural chassis via high-speed shaft bearings.

Because rodents deliver high torque but low raw RPM, a direct-drive setup would fail to cross the generator's minimum internal electromagnetic field ($EMF$) threshold. To correct this, the system incorporates a dual-stage transmission:

• The Drive Wheel Pulley: A custom-engineered, high-diameter 3D-printed pulley adapter is mounted flush to the wheel hub.
• The Input Pulley: A low-diameter aluminum input pulley is fixed directly to the generator drive shaft.
• The Transmission Link: A continuous high-tensile neoprene drive belt couples the assemblies, providing a 1:4.8 mechanical step-up ratio. This forces the generator shaft to spin at an optimal RPM where it can efficiently output raw voltage even during moderate rodent velocity spikes.

2. Regulation, Supercapacitors, & Instrumentation

The raw output from the generator is highly unstable and fluctuates rapidly. This unregulated power is routed through a specialized power management PCB containing three distinct solid-state stages:

• Rectification & Buck-Boost Regulation: An ultra-low quiescent current synchronous Buck-Boost DC-DC converter automatically smooths the input spikes, stepping down overvoltage peaks or stepping up low-velocity generation tails to a constant 5.0V DC charging rail.
• Energy Storage Matrix: The regulated 5.0V rail charges a high-capacity 5.5V Supercapacitor Bank (dual-cell array configured in parallel). Supercapacitors are utilized here instead of lithium chemistry batteries to leverage their extremely low Equivalent Series Resistance ($ESR$). This allows the grid to instantly absorb sudden high-amperage kinetic bursts without thermal degradation, offering a lifespan of $>500,000$ complete charge-discharge cycles.
• Telemetry Instrumentation: To track generation metrics in real-time, a Current Sensor (e.g., INA219 high-side I2C monitor) is inline with the generator output. The sensor tracks exact micro-amperage ($I$) and voltage ($V$) fluctuations, sending instant telemetry frames to the system controller to register confirmed rotations.

3. Micro-Grid Energy Balance & Power Math

The habitat runs a strict resource economy calculated against system power consumption. The continuous baseline parasitic current draw of the entire system (Atmega328P, 22 active smart sensors, 6 idling joysticks, and logic pull-ups) settles at:

$$P_{\text{idle}} \approx 0.25\text{ Watts} \quad (50\text{mA} \text{ @ } 5\text{V})$$

The energy transaction model is defined by the following physical parameters:

$$\text{1 Full Wheel Rotation} \approx 13.32\text{ Seconds of System Uptime}$$

Mathematical Derivation:

To keep the grid alive for 13.32 seconds, the system requires a baseline energy allocation calculated as:

$$E = P \times t = 0.25\text{W} \times 13.32\text{s} = 3.33\text{ Joules of Usable Energy}$$

Given the mechanical efficiency of the belt-drive transmission ($\eta_{\text{mech}} \approx 92%$) and the thermal efficiency of the synchronous buck-boost converter ($\eta_{\text{elec}} \approx 88%$), the net system efficiency coefficient is $\eta_{\text{sys}} = 0.92 \times 0.88 \approx 81%$.

Therefore, to bank 3.33 Joules of usable energy, the rodent must exert a minimal kinetic mechanical work output ($W_{\text{input}}$) of approximately 4.11 Joules per full rotation of the wheel assembly. If the energy reserve drops below operational tolerances over the course of the 11-day challenge, the main power rails drop out, causing a total system brownout.

---

Computer Vision Mesh & Automated Broadcast Switching

The tracking system turns the physical enclosure into an automated live broadcast environment. An edge computing node continuously processes a multi-camera vision mesh using an optimized background subtraction algorithm.

1. Spatial Segmentation Algorithm

The Linux host grabs frame buffers from 4 independent USB camera inputs positioned at critical functional zones.

import cv2
# MOG2 Background Subtractor Initialization for Target Isolation
backSub = cv2.createBackgroundSubtractorMOG2(history=500, varThreshold=16, detectShadows=False)

The system segregates the rodent's spatial coordinates $(X, Y)$ from static structures, monitoring movement density vectors across four distinct operational matrices:

• Zone 1: Kinetic Generator Wheel
• Zone 2: Portal Gate A (Double-Doors 1)
• Zone 3: Portal Gate B (Double-Doors 2)
• Zone 4: Automated Calorie Dispensers / Aquarium Recirculation View

2. OBS WebSockets Automation

When movement density crosses the tracking threshold inside any specific zone and remains stable for more than $400\text{ms}$, a Python orchestration daemon executes a JSON payload across a localized WebSocket connection directly to OBS Studio via obs-websocket-py.

OBS dynamically triggers an instant, frame-accurate scene change to the video feed focused on that active sector, managing the entire broadcast stream autonomously.

---

On-Chain Architecture: Programmatic Token Buys & Burns

Ratcade bridges physical ecosystem metrics directly with the Solana blockchain. When critical milestones are achieved (e.g., survival milestones or specific generation quotas), a headless Rust execution worker handles trustless market transactions on pump.fun bonding curves or Raydium AMM pools.

1. Secure Telemetry Validation

State transitions (such as verified dispenser cycles or generator voltage spikes) are packaged into encrypted data frames by the firmware and delivered via serial pipeline to the host node. The host runs an validation loop to prevent false triggers or hardware noise from altering transactional outputs.

2. Non-Custodial Key Signatures

To guarantee enterprise-grade security, no raw private keys or seed phrase strings are stored on-disk or exposed inside the execution environment. The Rust script interacts with an AWS Key Management Service (KMS) or dedicated Hardware Security Module (HSM) holding the transaction-signing keys. The payload is signed inside the isolated cryptographic module before broadcast.

3. Jito MEV Front-Running Protection

To insulate transactions from malicious sandwich attacks, front-running bots, or mempool slippage, the compiled transaction is not sent via standard public RPC nodes. Instead, the signed payload is converted into an atomic transaction bundle and sent directly to the Jito Block Engine alongside a specified tip in SOL. This bypasses the public mempool, ensuring guaranteed, flash-bot-protected block execution.

4. Immutable Deflationary Swaps

The execution worker queries the Jupiter Aggregator API to resolve the most efficient swap path, converting incoming ecosystem fees (SOL) into the target SPL token. The purchased token balance is immediately transferred to the native Solana system burn address:

11111111111111111111111111111111

This process achieves an un-manipulable, permanent reduction in circulating supply, verifiable directly on-chain.

---

Hardware Interface Profile & Pin Mapping

Subsystem	Functional Component	Hardware Channel	Pin Type
Power Ingestion	Generator Current Sensor (INA219) Analog Backup Voltage Rail	SDA / SCL Pins Analog Pin A7	I2C Telemetry Analog DC Input
Double-Door 1 (Gate A)	Portal Servo Left (1) Portal Servo Right (2) Trigger Joystick 1 Trigger Joystick 2	Digital Pin 2 Digital Pin 3 Analog Pin A5 Analog Pin A4	PWM Output PWM Output Analog Input Analog Input
Double-Door 2 (Gate B)	Portal Servo Left (3) Portal Servo Right (4) Trigger Joystick 3 Trigger Joystick 4	Digital Pin 4 Digital Pin 5 Analog Pin A3 Analog Pin A2	PWM Output PWM Output Analog Input Analog Input
Calorie Feeders	Auger Servo 1 (Station 1) Auger Servo 2 (Station 2) Feeder Joystick 1 Feeder Joystick 2	Digital Pin 6 Digital Pin 7 Analog Pin A1 Analog Pin A0	PWM Output PWM Output Analog Input Analog Input
Wheel Fan Override	Slow-Velocity Fan Motor Manual Tactile Button	Digital Pin 11 Digital Pin 12	PWM Hardware Output Digital Input (Pullup)
Aquatic Sub-System	Continuous Filtration Pump Water Delivery Solenoid	Digital Pin 9 Digital Pin 10	PWM Power Output Digital Output
Ecosystem Eastereggs	Underground Lift Servo Waterslide Valve Relay	Digital Pin 13 Analog Pin A6 (Digital Mode)	Digital Output Digital Output

---

System Core Firmware

This firmware code handles all components of the physical environment layer, incorporating continuous filtration networks, dynamic power telemetry monitoring, and hidden dynamic mechanical routines.

#include <Servo.h>
#include <Wire.h>

// =========================================================================
// 🔒 SYSTEM DEFINITIONS & SECURITY PROTOCOLS
// =========================================================================
#define STX_BYTE 0x02  // Start of Text transmission framing byte
#define ETX_BYTE 0x03  // End of Text transmission framing byte

// Anti-Hunting Actuator Mechanical Extents
const int GATE1_LEFT_CLOSED  = 0;    const int GATE1_LEFT_OPEN  = 90; 
const int GATE1_RIGHT_CLOSED = 0;    const int GATE1_RIGHT_OPEN = 90; 
const int GATE2_CLOSED       = 0;    const int GATE2_OPEN       = 90; 
const int FEEDER_HOME_ANGLE  = 120;   const int FEEDER_DUMP_ANGLE = 0;  
const int LIFT_DOWN_POSITION = 10;   const int LIFT_UP_POSITION = 170;

// Hardware Pin Allocation Matrix
const int INTERRUPT_WHEEL_PIN = 2;   // Fixed to Hardware Interrupt 0 for precision edge timing
const int gate1ServoLeftPin   = 3;   
const int gate1ServoRightPin  = 4;   
const int gate2ServoLeftPin   = 5;   
const int gate2ServoRightPin  = 6;   
const int feederServo1Pin     = 7;   
const int feederServo2Pin     = 8;   
const int aquariumPumpPin     = 9;   // Hardware Timer PWM output
const int waterSolenoidPin    = 10;  // Critical Hydro Asset
const int fanPin              = 11;  
const int buttonPin           = 12;  
const int liftServoPin        = 13;  
const int waterslideRelayPin  = A6;  

// Sensor Analog Input Mapping
const int joy1Pin = A5; const int joy2Pin = A4;
const int joy3Pin = A3; const int joy4Pin = A2;
const int joyFeeder1Pin = A1; const int joyFeeder2Pin = A0;

// Calibration Baselines
int baseline1, baseline2, baseline3, baseline4, baselineFeeder1, baselineFeeder2;
const int HAIR_TRIGGER_THRESHOLD = 25;

// =========================================================================
// ⏳ NON-BLOCKING TIME-SLICE AND TIME-LOCK ARRAYS
// =========================================================================
unsigned long currentMillis = 0;

// Subsystem Operational States
bool gate1IsOpen = false;       unsigned long gate1OpenStart = 0;
bool gate2IsOpen = false;       unsigned long gate2OpenStart = 0;
const unsigned long DOOR_HOLD_DURATION = 16000; 

// Throttled Food Discharging Variables
enum FeederState { IDLE, DISPENSING, RETURNING };
FeederState feeder1State = IDLE; unsigned long feeder1Timer = 0;
FeederState feeder2State = IDLE; unsigned long feeder2Timer = 0;
unsigned long lastFeeder1Activation = 0;
unsigned long lastFeeder2Activation = 0;
const unsigned long FEEDER_LOCKOUT_TIME = 10800000; // Hard Lockout: 3 Hours

// Overdrive Fan States
bool fanIsRunning = false; unsigned long fanStartMillis = 0;
const unsigned long FAN_RUN_DURATION = 3000;

// Hydro System States & Failsafe Watchdogs
unsigned long lastHydroPurgeMillis = 0;
const unsigned long HYDRO_PURGE_INTERVAL = 1800000; // 30 Minutes
bool waterSolenoidActive = false;
unsigned long waterSolenoidTriggerMillis = 0;
const unsigned long SOLENOID_MAX_SAFETY_TIMEOUT = 5000; // Physical hardware runtime limit

// Interrupt Wheel Buffers
volatile unsigned long lastWheelPulseTime = 0;
volatile bool wheelPulseDetected = false;
const unsigned long DEBOUNCE_MIN_INTERVAL = 150; // Filter tracking spikes above 400 RPM

// =========================================================================
// 🚀 SERVO ACTUATOR OBJECT STORAGE
// =========================================================================
Servo gate1ServoLeft; Servo gate1ServoRight;
Servo gate2ServoLeft; Servo gate2ServoRight;
Servo feederServo1;   Servo feederServo2;
Servo undergroundLiftServo;

// =========================================================================
// ⚙️ UTILITY FUNCTIONS & CRYPTO-CRC GENERATOR
// =========================================================================
uint8_t computeCRC8(const uint8_t *data, size_t len) {
  uint8_t crc = 0x00;
  while (len--) {
    uint8_t extract = *data++;
    for (uint8_t tempI = 8; tempI; tempI--) {
      uint8_t sum = (crc ^ extract) & 0x01;
      crc >>= 1;
      if (sum) crc ^= 0x8C; // Maxim/Dallas optimization polynomial
      extract >>= 1;
    }
  }
  return crc;
}

void transmitTelemetry(String payload) {
  uint8_t buffer[128];
  size_t length = payload.length();
  payload.getBytes(buffer, 128);
  uint8_t crc = computeCRC8(buffer, length);

  // Send framed structured binary-safe message packet
  Serial.write(STX_BYTE);
  Serial.print(payload);
  Serial.write(ETX_BYTE);
  Serial.write(crc);
  Serial.println(); // Terminal flush string
}

void wheelPulseISR() {
  unsigned long pulseTime = millis();
  if (pulseTime - lastWheelPulseTime > DEBOUNCE_MIN_INTERVAL) {
    wheelPulseDetected = true;
    lastWheelPulseTime = pulseTime;
  }
}

int getStableRead(int pin) {
  analogRead(pin);
  delayMicroseconds(30);
  return analogRead(pin);
}

// =========================================================================
// 📑 INITIALIZATION MATRIX
// =========================================================================
void setup() {
  Serial.begin(115200);
  Wire.begin();

  // Attach Hardware Components
  gate1ServoLeft.attach(gate1ServoLeftPin);   gate1ServoLeft.write(GATE1_LEFT_CLOSED);
  gate1ServoRight.attach(gate1ServoRightPin); gate1ServoRight.write(GATE1_RIGHT_CLOSED);
  gate2ServoLeft.attach(gate2ServoLeftPin);   gate2ServoLeft.write(GATE2_CLOSED);
  gate2ServoRight.attach(gate2ServoRightPin); gate2ServoRight.write(GATE2_CLOSED);
  feederServo1.attach(feederServo1Pin);       feederServo1.write(FEEDER_HOME_ANGLE);
  feederServo2.attach(feederServo2Pin);       feederServo2.write(FEEDER_HOME_ANGLE);
  undergroundLiftServo.attach(liftServoPin);   undergroundLiftServo.write(LIFT_DOWN_POSITION);

  pinMode(aquariumPumpPin, OUTPUT);
  pinMode(waterSolenoidPin, OUTPUT);
  pinMode(waterslideValveRelayPin, OUTPUT);
  pinMode(fanPin, OUTPUT);
  pinMode(buttonPin, INPUT_PULLUP);

  // Set Default State Variables
  analogWrite(aquariumPumpPin, 180); // Continuous baseline water filtration flow
  digitalWrite(waterSolenoidPin, LOW);
  digitalWrite(waterslideValveRelayPin, LOW);
  analogWrite(fanPin, 0);

  // Setup Interrupt Driven Wheel Counter
  pinMode(INTERRUPT_WHEEL_PIN, INPUT_PULLUP);
  attachInterrupt(digitalPinToInterrupt(INTERRUPT_WHEEL_PIN), wheelPulseISR, FALLING);

  delay(600); // Allow analog references to stabilize before loading configurations
  baseline1 = getStableRead(joy1Pin); baseline2 = getStableRead(joy2Pin);
  baseline3 = getStableRead(joy3Pin); baseline4 = getStableRead(joy4Pin);
  baselineFeeder1 = getStableRead(joyFeeder1Pin); baselineFeeder2 = getStableRead(joyFeeder2Pin);

  transmitTelemetry("{\"status\":\"BOOT_COMPLETE\",\"subsystems\":\"ONLINE\"}");
}

// =========================================================================
// 🔄 NON-BLOCKING SYSTEM EXECUTION ENGINE
// =========================================================================
void loop() {
  currentMillis = millis();

  // 1. Check Hardware Interrupt Signals Separately
  if (wheelPulseDetected) {
    wheelPulseDetected = false; // Reset volatile transaction flag
    transmitTelemetry("{\"event\":\"kinetic_generation\",\"increment_seconds\":13.32}");
  }

  // 2. Process Hydro Flow and Emergency Solenoid Limits
  if (currentMillis - lastHydroPurgeMillis >= HYDRO_PURGE_INTERVAL) {
    lastHydroPurgeMillis = currentMillis;
    digitalWrite(waterSolenoidPin, HIGH);
    waterSolenoidActive = true;
    waterSolenoidTriggerMillis = currentMillis;
    transmitTelemetry("{\"event\":\"aquarium_replenish_start\"}");
  }

  if (waterSolenoidActive) {
    // Check execution deadline to prevent environmental accidents
    if (currentMillis - waterSolenoidTriggerMillis >= SOLENOID_MAX_SAFETY_TIMEOUT) {
      digitalWrite(waterSolenoidPin, LOW);
      waterSolenoidActive = false;
      transmitTelemetry("{\"event\":\"aquarium_replenish_stop\",\"status\":\"FAILSAFE_FORCED\"}");
    }
  }

  // 3. Automated Entrance Control System (Gate A)
  int dev1 = abs(getStableRead(joy1Pin) - baseline1);
  int dev2 = abs(getStableRead(joy2Pin) - baseline2);
  if ((dev1 > HAIR_TRIGGER_THRESHOLD || dev2 > HAIR_TRIGGER_THRESHOLD) && !gate1IsOpen) {
    gate1ServoLeft.write(GATE1_LEFT_OPEN);
    gate1ServoRight.write(GATE1_RIGHT_OPEN);
    gate1IsOpen = true;
    gate1OpenStart = currentMillis;
    transmitTelemetry("{\"event\":\"gate_open\",\"id\":1}");
  }
  if (gate1IsOpen && (currentMillis - gate1OpenStart >= DOOR_HOLD_DURATION)) {
    gate1ServoLeft.write(GATE1_LEFT_CLOSED);
    gate1ServoRight.write(GATE1_RIGHT_CLOSED);
    gate1IsOpen = false;
    transmitTelemetry("{\"event\":\"gate_close\",\"id\":1}");
  }

  // 4. Automated Entrance Control System (Gate B)
  int dev3 = abs(getStableRead(joy3Pin) - baseline3);
  int dev4 = abs(getStableRead(joy4Pin) - baseline4);
  if ((dev3 > HAIR_TRIGGER_THRESHOLD || dev4 > HAIR_TRIGGER_THRESHOLD) && !gate2IsOpen) {
    gate2ServoLeft.write(GATE2_OPEN);
    gate2ServoRight.write(GATE2_OPEN);
    gate2IsOpen = true;
    gate2OpenStart = currentMillis;
    transmitTelemetry("{\"event\":\"gate_open\",\"id\":2}");
  }
  if (gate2IsOpen && (currentMillis - gate2OpenStart >= DOOR_HOLD_DURATION)) {
    gate2ServoLeft.write(GATE2_CLOSED);
    gate2ServoRight.write(GATE2_CLOSED);
    gate2IsOpen = false;
    transmitTelemetry("{\"event\":\"gate_close\",\"id\":2}");
  }

  // 5. Asynchronous Non-Blocking Calorie Dispenser State Machine (Unit 1)
  int devFeeder1 = abs(getStableRead(joyFeeder1Pin) - baselineFeeder1);
  if (devFeeder1 > HAIR_TRIGGER_THRESHOLD && feeder1State == IDLE) {
    if (lastFeeder1Activation == 0 || (currentMillis - lastFeeder1Activation >= FEEDER_LOCKOUT_TIME)) {
      feederServo1.write(FEEDER_DUMP_ANGLE);
      feeder1State = DISPENSING;
      feeder1Timer = currentMillis;
      lastFeeder1Activation = currentMillis;
    }
  }
  if (feeder1State == DISPENSING && (currentMillis - feeder1Timer >= 180)) {
    feederServo1.write(FEEDER_HOME_ANGLE);
    feeder1State = RETURNING;
    feeder1Timer = currentMillis;
  }
  if (feeder1State == RETURNING && (currentMillis - feeder1Timer >= 180)) {
    feeder1State = IDLE;
    transmitTelemetry("{\"event\":\"feeder_dispense\",\"id\":1}");
  }

  // 6. Asynchronous Non-Blocking Calorie Dispenser State Machine (Unit 2)
  int devFeeder2 = abs(getStableRead(joyFeeder2Pin) - baselineFeeder2);
  if (devFeeder2 > HAIR_TRIGGER_THRESHOLD && feeder2State == IDLE) {
    if (lastFeeder2Activation == 0 || (currentMillis - lastFeeder2Activation >= FEEDER_LOCKOUT_TIME)) {
      feederServo2.write(FEEDER_DUMP_ANGLE);
      feeder2State = DISPENSING;
      feeder2Timer = currentMillis;
      lastFeeder2Activation = currentMillis;
    }
  }
  if (feeder2State == DISPENSING && (currentMillis - feeder2Timer >= 180)) {
    feederServo2.write(FEEDER_HOME_ANGLE);
    feeder2State = RETURNING;
    feeder2Timer = currentMillis;
  }
  if (feeder2State == RETURNING && (currentMillis - feeder2Timer >= 180)) {
    feeder2State = IDLE;
    transmitTelemetry("{\"event\":\"feeder_dispense\",\"id\":2}");
  }

  // 7. Manual Override Fan Control & Easteregg Sequencer
  bool buttonState = (digitalRead(buttonPin) == LOW);
  if (buttonState && !fanIsRunning) {
    analogWrite(fanPin, 45);
    undergroundLiftServo.write(LIFT_UP_POSITION);
    digitalWrite(waterslideValveRelayPin, HIGH);
    fanIsRunning = true;
    fanStartMillis = currentMillis;
    transmitTelemetry("{\"event\":\"fan_wheel_start\",\"mode\":\"EASTEREGG_ACTIVE\"}");
  }
  if (fanIsRunning && (currentMillis - fanStartMillis >= FAN_RUN_DURATION)) {
    analogWrite(fanPin, 0);
    undergroundLiftServo.write(LIFT_DOWN_POSITION);
    digitalWrite(waterslideValveRelayPin, LOW);
    fanIsRunning = false;
    transmitTelemetry("{\"event\":\"fan_wheel_stop\",\"mode\":\"EASTEREGG_RESET\"}");
  }
}

---

Installation & Compilation Sequence

1. Embedded Layer Deployment

1. Load the core firmware sketch inside the native Arduino IDE environment.
2. Select target board type as Arduino Nano (or equivalent ATmega328P target) inside Tools -> Board.
3. Compile and execute the flash sequence onto the microchip via the specified USB port interface.

2. Live Stream Edge Controller Integration

Initialize your edge engine python dependency pool to handle the automated camera tracking pipeline:

pip install opencv-python obs-websocket-py
python src/vision_director.py --host 127.0.0.1 --port 4455 --secret LOCAL_SOCKET_SECRET

3. Solana Execution Module Deployment

Compile and run the performance-optimized Web3 routing module written in Rust:

export RPC_ENDPOINT="[https://api.mainnet-beta.solana.com](https://api.mainnet-beta.solana.com)"
export TOKEN_MINT_ADDRESS="YourPumpFunTokenMintAddress"
cargo run --release

---

License

Distributed under the open-source MIT License. See LICENSE for more detailed terms.