AI CCTV Pizza Outlet Event Detection

# Job Title: AI Camera Vision Developer – POS Bill Slip Detection & Pizza Customer Collection Tracking **Project Budget:** ₹7,000 (Fixed Price) **Timeline:** 2 Days (Urgent) **Project Type:** AI / Computer Vision / Video Analytics ### Project Overview We are looking for an experienced AI/Computer Vision developer to develop and implement a camera-based AI solution for a pizza outlet. The solution should identify two specific activities using existing CCTV camera footage: ### 1. POS Bill Slip Detection - Detect when a printed bill/order slip comes out of the POS billing machine. - Identify and count each slip generated by the POS machine. - Record the timestamp of every detected slip. - Avoid duplicate counting of the same slip. ### 2. Pizza Customer Collection Tracking - Identify when a customer collects a pizza/order from the staff at the billing counter. - Detect the interaction between staff and customers during order handover. - Count the total number of successful pizza/order handovers. - Record the timestamp of each collection event. - Avoid duplicate counting of the same customer collection. ### Technical Requirements - AI-based computer vision using CCTV/IP camera footage. - Object detection and tracking. - Real-time or recorded video processing, depending on the existing system architecture. - Integration with our existing AI camera vision system. - Accurate event detection and counting. - Structured output containing event type, timestamp and count. ### Data & Support - We will provide the required video footage, reference data and other necessary inputs. - Our technical team will support the developer during implementation and integration. - The developer must be able to implement the solution within our existing system. ### Deliverables 1. Working AI model/logic for POS slip detection. 2. Working AI model/logic for customer pizza collection tracking. 3. Integration into our existing AI camera vision system. 4. Event-wise counting and timestamp logging. 5. Testing and demonstration of the implemented solution. ### Acceptance Criteria & Payment **Final sign-off will be provided only after:** - Both use cases are successfully implemented in our system. - The solution achieves a minimum of **95% detection accuracy** on the agreed test dataset and validation methodology. - Duplicate and missed detections are evaluated during testing. - Our technical team validates the results in the actual deployment environment. **Important:** Payment approval and final project sign-off will be subject to successful implementation and validation of 95%+ accuracy. ### Required Skills - Python - OpenCV - YOLO / Object Detection - Computer Vision - Object Tracking (DeepSORT / ByteTrack) - AI Video Analytics - CCTV / RTSP Camera Integration - Model Optimization and Deployment ### To Apply Please share: 1. Relevant experience in AI camera vision and object detection. 2. Examples of similar projects delivered. 3. Your proposed technical approach. 4. Confirmation that you can complete the assignment within 2 days and within the ₹7,000 budget. **We are looking for someone who can deliver a working implementation, not just a model or proof of concept.**