Object detection and classification
Budget: ₹600 – ₹40,000 INR
Hello, i am looking for guys to build me an object detection and classification algorithm for compute module based on RV1126/A311D/similar compute modules (not to be based on raspberry Pi). The above given module have inbuilt NPU ,so it would be easy to implement machine learning algorithms.
The sensors includes ultrasonic module (8) on i2c line, 8 2D lidar module/8 stero vision module.
The algorithm should be capable of detecting and classifying objects in centimetre range like screw,bolts etc..
The compute module will be coupled with an STM32 module which will control light on and off ,gimbal control,motor control and more. The compute module might also needs to use the H.264/H.265 ,AES256 bit encode engine for sending the detected object image and other details via an RF link. RF link need not has to be developed.
Major task to be completed.
1) Establishing connection with the STM32 chip for control purposes.So,that the STM32 will act as the slave and works with all the controlling task. The connection may be via SPI/I2C/CAN BUS.
2) Making algorithm to detect the object using the combination of above given Sensors and control algorithm.
3). Using H.264/H.265 and AES-256 engine to send the data to an rf module.
More details will be revealed via chat.
Please don't apply if you are not skilled enough to do the task.
The intrested freelancer should explain how they are going to implement the object detection and classification algorithm via chat.
The sensors includes ultrasonic module (8) on i2c line, 8 2D lidar module/8 stero vision module.
The algorithm should be capable of detecting and classifying objects in centimetre range like screw,bolts etc..
The compute module will be coupled with an STM32 module which will control light on and off ,gimbal control,motor control and more. The compute module might also needs to use the H.264/H.265 ,AES256 bit encode engine for sending the detected object image and other details via an RF link. RF link need not has to be developed.
Major task to be completed.
1) Establishing connection with the STM32 chip for control purposes.So,that the STM32 will act as the slave and works with all the controlling task. The connection may be via SPI/I2C/CAN BUS.
2) Making algorithm to detect the object using the combination of above given Sensors and control algorithm.
3). Using H.264/H.265 and AES-256 engine to send the data to an rf module.
More details will be revealed via chat.
Please don't apply if you are not skilled enough to do the task.
The intrested freelancer should explain how they are going to implement the object detection and classification algorithm via chat.