Yolo11 Food Packet Detection on Conveyor

I need a custom YOLOv11 model trained to detect food packets on a conveyor belt. The primary task is to count the number of food packets passing through.

Ideal Skills:
- Experience with YOLOv11 and object detection
- Knowledge in training models for counting tasks
- Familiarity with conveyor systems
We are reaching out to request your expertise in developing a custom object detection module tailored for our specific requirements. The objective of the system is to identify and count packets of objects on a conveyor belt. Here are the details of the project requirements:

Platform: NVIDIA Jetson Nano
Model: YOLOv11 (or its equivalent for object detection)
Scope:
Training the system with custom datasets for accurate detection.
Implementing the trained model on Jetson Nano for real-time identification and counting.
Complete end-to-end solution, including system setup, deployment, and optimization for efficiency and accuracy.
We would like to know if this is a project you can undertake and if so, could you provide us with the following details:

The total cost of the project.
The timeline for completion.
Any additional requirements from our side to facilitate the development process.
It should have one dashboard where we could be able to get all the packet counting details on Each conveyor belt at different time stamp and we can draw a report at the day end where we can get the packets counting report. it will be a very standard dashboard.

Please include relevant past projects in your proposal.