ESP32 CAMERA OBJECT DETECTION -- 2
Budget: $600 – $800 USD
Using a standard espcam dev board, developer to create an ESP32 camera object detection system that can accurately detect people in real-time. The system should have a high accuracy rate of above 95%. A simple app on iOS or Android to control settings and receive detection. This is only a proof of concept and does not require to be polished.
The system allows for detection of bipedals ( humans ), four-legged animals, vehicles. Must be able to set scale, sensitivity, etc. There is no live video. This is only a proof of concept and if you develop this project successfully, you will receive the full project for the full product.
Ideal skills and experience for this job include:
- Proficiency in ESP32 and camera programming
- Experience in object detection using OpenCV or other machine learning libraries
- Knowledge of real-time processing and alerts
- Ability to optimize the system for high accuracy and low latency
Main aspects:
1. Using existing espcam dev board of your choice
2. Write code to detect:
a. Human form, from 1m to 10m away. Adjustable sensitivity
b. 4 legged animal detection from 1m to 10m, adjustable height and size of animal
c. Car detection from 1m to 20m, adjustable sensitivity
d. Simple user control panel on app for iphone or android to perform test and detection, as well as settings
3. Must be able to detect target even in clutter (meaning the background is complex, such as trees)
4. Able to select any of the targets, for example, only human, only animal, only car, or a combination
Please reply in detail with your abilities.
The system allows for detection of bipedals ( humans ), four-legged animals, vehicles. Must be able to set scale, sensitivity, etc. There is no live video. This is only a proof of concept and if you develop this project successfully, you will receive the full project for the full product.
Ideal skills and experience for this job include:
- Proficiency in ESP32 and camera programming
- Experience in object detection using OpenCV or other machine learning libraries
- Knowledge of real-time processing and alerts
- Ability to optimize the system for high accuracy and low latency
Main aspects:
1. Using existing espcam dev board of your choice
2. Write code to detect:
a. Human form, from 1m to 10m away. Adjustable sensitivity
b. 4 legged animal detection from 1m to 10m, adjustable height and size of animal
c. Car detection from 1m to 20m, adjustable sensitivity
d. Simple user control panel on app for iphone or android to perform test and detection, as well as settings
3. Must be able to detect target even in clutter (meaning the background is complex, such as trees)
4. Able to select any of the targets, for example, only human, only animal, only car, or a combination
Please reply in detail with your abilities.