Emergency Alert Security Robot
Budget: $2 – $8 USD
I’m ready to move from concept to working prototype on a home-security robot that focuses solely on emergency response—specifically, detecting break-ins and sending instant alerts. The core idea is a mobile unit that patrols designated zones, recognises unauthorised entry, and pushes real-time notifications (sound, SMS, or app-based) to my phone while triggering audible deterrents on-site.
Here’s the shape of the work:
• System architecture: advise on the right combination of sensors (camera, PIR, ultrasonic, mic), onboard processing (Raspberry Pi, Jetson, or similar), and wireless protocols so the robot can run edge-based computer-vision without relying on the cloud.
• Detection pipeline: develop or integrate a lightweight model—OpenCV or TensorFlow-Lite is fine—that reliably flags human intrusion in low-light and daylight conditions, minimising false positives from pets.
• Alert mechanism: build the software bridge to push break-in alerts through a companion mobile app/API along with timestamped snapshots or short clips. A local siren should activate simultaneously.
• Navigation basics: configure autonomous roaming between waypoints, returning to a charging dock when the battery dips below threshold. ROS 2, SLAM, or simpler lidar-based mapping are acceptable—whichever you feel best suits a first-gen prototype.
• Proof and testing: a short video demo plus log files that show detection accuracy and alert latency inside a typical apartment setting.
I’m keeping cleaning, concierge, and other features out of scope for now—this sprint is purely about break-in response. If you have prior work with home robotics, embedded Linux, or smart-home integrations (Alexa, Google Home), flag it in your proposal so I can see how quickly we can get to a field-ready unit.
Here’s the shape of the work:
• System architecture: advise on the right combination of sensors (camera, PIR, ultrasonic, mic), onboard processing (Raspberry Pi, Jetson, or similar), and wireless protocols so the robot can run edge-based computer-vision without relying on the cloud.
• Detection pipeline: develop or integrate a lightweight model—OpenCV or TensorFlow-Lite is fine—that reliably flags human intrusion in low-light and daylight conditions, minimising false positives from pets.
• Alert mechanism: build the software bridge to push break-in alerts through a companion mobile app/API along with timestamped snapshots or short clips. A local siren should activate simultaneously.
• Navigation basics: configure autonomous roaming between waypoints, returning to a charging dock when the battery dips below threshold. ROS 2, SLAM, or simpler lidar-based mapping are acceptable—whichever you feel best suits a first-gen prototype.
• Proof and testing: a short video demo plus log files that show detection accuracy and alert latency inside a typical apartment setting.
I’m keeping cleaning, concierge, and other features out of scope for now—this sprint is purely about break-in response. If you have prior work with home robotics, embedded Linux, or smart-home integrations (Alexa, Google Home), flag it in your proposal so I can see how quickly we can get to a field-ready unit.