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SPOT - AI Parking Detector
AI parking monitor inside a single HTML file
An AI-powered parking space monitor designed to solve the daily frustration of residential street parking. Packaged entirely as a single, lightweight HTML file, SPOT runs 100% locally in your browser with zero installation or cloud dependencies. Simply open the file, allow webcam access, draw a custom detection zone over your street parking spot, and start tracking. The system utilizes local computer vision to watch the space and triggers 5 loud audio beeps the exact second it frees up.
Hello Product Hunt! 👋
I’m Danish, a student and developer.
Living on a busy residential street in the UK, I faced a daily, frustrating problem: coming home, finding no parking spaces outside my house, and having to park streets away. I would spend the next hour constantly looking out the window hoping a space would open up - only for someone else to snag it seconds before I noticed.
I wanted a solution, but I didn't want to install heavy software, configure complicated IDEs, or pay for expensive cloud-based CCTV subscriptions that compromise my privacy.
So, I built SPOT.
It packs a full computer vision and vehicle tracking pipeline into a single, standalone HTML file. You literally just double-click to open it in your browser, draw a zone over your parking space, and let it run locally. The second a vehicle leaves, it plays 5 loud beeps so you can grab your keys and take the spot. It is 100% private, with zero server costs and zero configuration.
I'd love to hear your thoughts, feedback, or any feature ideas you have for future versions! If you find this project interesting, please consider dropping a star on GitHub: https://github.com/danishzubair/...
Thanks for checking it out!
About SPOT - AI Parking Detector on Product Hunt
“AI parking monitor inside a single HTML file”
SPOT - AI Parking Detector was submitted on Product Hunt and earned 8 upvotes and 7 comments, placing #77 on the daily leaderboard. An AI-powered parking space monitor designed to solve the daily frustration of residential street parking. Packaged entirely as a single, lightweight HTML file, SPOT runs 100% locally in your browser with zero installation or cloud dependencies. Simply open the file, allow webcam access, draw a custom detection zone over your street parking spot, and start tracking. The system utilizes local computer vision to watch the space and triggers 5 loud audio beeps the exact second it frees up.
On the analytics side, SPOT - AI Parking Detector competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how SPOT - AI Parking Detector performed against the three products that launched closest to it on the same day.
Who hunted SPOT - AI Parking Detector?
SPOT - AI Parking Detector was hunted by Danish. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SPOT - AI Parking Detector including community comment highlights and product details, visit the product overview.
Danish