With ever increasing of the design sizes and complexity of electronic circuits, the design, modeling and simulation of these systems become a challenging issue. It is therefore important to design these systems at high level of ion. To reduce the design cycle times for large electronic systems, the hardware and software components of the whole system should be designed simultaneously. It is also important to simulate different circuit components in any ion level to have an early reliable evaluation of whole design. Accurate modeling of the circuits at different steps of design process is an essential factor for having a cost effective and high throughput final circuit implementation. Accordingly, SystemC as an IEEE Standard (IEEE-1666) is introduced in 2005 for both modeling and simulation purposes in order to have evaluation of hardware/software components of electronic systems. SystemC is a C++ Researchers have been interested in vision chips for decades. The vision chip integrates image sensors with processing elements in one chip. This configuration leads to structures like SIMD architecture by which real-time in-pixel parallel image processing is performed. Besides capturing image data, one potential application of CMOS image sensors is harvesting the light energy. So, designing vision chips that can harvest energy along with their normal image related functions is desirable. Having an efficient high level design of these systems is an important factor in their design flow and hardware implementation. The main goal of this work is first to study different aspects of system level design flows and then propose a vision chip at system level which can harvest light illumination energy efficiently along with its normal functionality. The design of proposed system is mainly based on a model of the fabricated photodiode, a 11×11?m2 n+/p-substrate photodiode which is fabricated in standard CMOS 0.18 ?m technology. This accuracy is important for both light sensing and energy harvesting purposes. In order to evaluate the system functionality, the proposed system is modeled in SystemC high level language. Keywords: 1. System level design, 2. Digital pixel sensor, 3. SystemC, 4. Light energy harvester, 5. Image processing